The honorees, listed below, were each awarded US$100,000:
Physical Sciences & Engineering
Prof. Ido Kaminer, Technion – Israel Institute of Technology, 2021 Laureate
Prof. Guy Rothblum, Weizmann Institute of Science, 2020 Laureate (in absentia)
Chemistry
Prof. Rafal Klajn, Weizmann Institute of Science, 2021 Laureate
Prof. Emmanuel Levy, Weizmann Institute of Science, 2020 Laureate
Life Sciences
Prof. Yossi Yovel, Tel Aviv University, 2021 Laureate
Prof. Igor Ulitsky, Weizmann Institute of Science, 2020 Laureate (in absentia).
Israel’s newly-appointed President, Isaac Herzog, graced the ceremony with an appearance and a short speech. Herzog thanked Len Blavatnik for his philanthropy and support of scientific research, and praised scientists and their role in fighting COVID-19 in Israel, saying “Just as Pasteur’s experiments 150 years ago were the torch that illuminated the path to modern vaccines, the young scientists receiving the Blavatnik Awards tonight are illuminating the path to the future.”
Anchor of Israel TV’s Reshet 13, Dr. Hila Korach, served as Emcee. The President of the Israel Academy of Sciences and Humanities, Prof. Nili Cohen, gave opening remarks and introduced President Herzog. Afterward, The New York Academy of Sciences President and CEO, Nicholas B. Dirks, spoke about the importance of science to help humanity tackle the challenges ahead, and congratulated the Laureates.
Kfir Damari, Co-Founder of SpaceIL, was the keynote speaker and inspired the audience by sharing the story behind the inception of the Beresheet spacecraft and the creation of SpaceIL. Equally inspirational were Israeli Singer Marina Maximillian, youth performer Lia Schapira, and dancer Liron Ozery, who gave notable performances during the evening.
2020 and 2021 Laureates of the Blavatnik Awards in Israel. (L to R) Ido Kaminer, Rafal Klajn, Emmanuel Levy and Yossi Yovel.
VIP Guests at the event included:
Peter Thorén, Executive Vice President, Access Industries; Member of the Board of Governors, The New York Academy of Sciences
Avi Fischer, Chairman & CEO of Clal Industries
Uri Sivan, President of Technion – Israel Institute of Technology
Alon Chen, President of Weizmann Institute of Science
Ariel Porat, President of Tel Aviv University
Robert John Aumann, 2005 Nobel Laureate in Economics
Roger Kornberg, 2006 Nobel Laureate in Chemistry
Ambassador Neil Wigan, United Kingdom Ambassador to Israel
Ami Appelbaum, Chairman of Israel Innovation Authority;
Yulia Berkovich Shamalov, former Israeli politician
Ron Levkowitz, Chairman of First International Bank of Israel
To learn more about the Blavatnik Awards for Young Scientists, visit blavatnikawards.org.
Israel President Isaac Herzog.The New York Academy of Sciences President, Prof. Nicholas B. Dirks.Israel Academy of Sciences and Humanities President Prof. Nili Cohen.The 2021 Toast to Science. From left: Kfir Damari, Hila Korach, Nili Cohen, Peter Thorén, and Nick Dirks.“Science of Tomorrow” Panel Discussion. (L to R) Moti Segev, Oded Rechavi, Erez Berg, Tamar Ziegler.Israeli Singer and Songwriter, Marina Maximillian and youth performer Lia Schapira.Full-scale model of the Beresheet Spacecraft built by SpaceIL, on display at the Ceremony reception.
Growing up in Romania, Mircea Dincă’s was first exposed to science. Now he’s engineering an electric Lamborghini.
Published October 1, 2021
By Roger Torda
Mircea Dincă (left) poses with Nick Dirks, President and CEO of The New York Academy of Sciences.
Mircea Dincă creates materials in the lab with surface features that can’t be found in nature. He then makes variants with electrical properties that other scientists once thought impossible. This is groundbreaking basic research with many emerging applications. One is particularly exciting: a supercapacitor to power a Lamborghini supercar.
Dincă, a professor of chemistry at MIT, is this year’s Blavatnik National Awards for Young Scientists Laureate in Chemistry. He heads a lab that synthesizes novel organic-inorganic hybrid materials and manipulates their electrochemical and photophysical properties.
Dincă and his students work with metal-organic frameworks, or MOFs. “These are basically what I like to call sponges on steroids because they are enormously porous,” Dincă told the Academy in a recent interview. “They have fantastically high surface areas, higher than anything that humanity has ever known.”
Metal-Organic Frameworks (MOFs)
MOFs have a hollow, crystalline, cage-like structure, consisting of an array of metal ions surrounded by organic “linker” molecules. Scientists can “tune” their porosity, creating MOFs that can capture molecules of different properties and size.
To help conceptualize the large surface area of MOFs, Dincă says a gram of the material would, if flattened out, cover an entire football field. This means their pores can hold an almost unimaginably large number of molecules. One application capitalizing on this capacity is gas storage. For example, a canister filled with MOFs would hold nine times more CO2 than an empty canister. Other emerging uses have included devices to manage heat, antimicrobial products, gas separation, and devices for scrubbing emissions and carbon capture.
Dincă first encountered MOFs as a graduate student. Several years later, after considerable research on the electronic structure of materials, he started envisioning MOFs with properties that had not been widely considered before. “Previously, people thought that metal-organic frameworks are just ideal insulators,” Dincă said. “But we realized that there are certain types of building blocks that, when put together, would allow the free flow of electrical charges.” This was something of a paradigm shift in the field.
A Partnership with Lamborghini
Dincă and his students started synthesizing MOFs with a variety of organic ligands and metal combinations to create materials that are both porous and conducting. They also developed ways to grow MOF crystals so they can be more easily studied with imaging tools, permitting analysis of their structure, atom-by-atom. The new techniques and materials have led to MOFs that might prove valuable for batteries, fuel cells, and energy storage. Dincă’s lab and MIT have signed a partnership with Lamborghini to use MOF supercapcitors in the company’s planned Terzo Millennio sportscar.
Dincă and his students also study the use of MOFs as catalysts, and as chemical sensors. They explore how these materials interact with light, which could lead to smart windows that lighten or darken automatically. Better solar cells are yet another possible application.
More efficient air conditioning, with considerable environmental benefit, is another goal. Dincă has co-founded a start-up called Transaera to build MOF-based cooling equipment that pulls water molecules out of air so that the AC doesn’t work as hard. The key is tuning the pores of the MOFs to just the right size to capture water at just the right humidity.
Scaling up remains a challenge for many of these applications. “It’s one thing to make a few grams in a laboratory, it’s quite another to make hundreds of kilograms so you can take them out into the real world,” Dincă said.
“Thirsty for Knowledge”
Dincă grew up in Romania, and says he got his first taste of chemistry in 7th grade. An MIT departmental biography playfully suggests “that having a dedicated teacher that did spectacular demonstrations with relatively limited regard for safety” was the initial influence. One imagines awe-inspiring, semi-controlled explosions in the front of a classroom of 12 year olds. In the following years, Dincă started participating in the Chemistry Olympiads, and in 1998, when he was in high school, he won first place at an international competition in Russia.
At the time, Dincă found he was running up against limits to his education. “I think the biggest challenges to my becoming a scientist were, early on in Romania where I grew up, that we just didn’t have access to labs, to books,” Dincă said. “That made me thirsty for knowledge.” So Dincă was eager to travel to the U.S. when he was offered a scholarship for undergraduate studies at Princeton. He then earned a Ph.D. from UC Berkeley. He has been teaching and conducting research at MIT since 2008.
Dincă met his wife, who is also from Romania, while they were both students at Princeton. She is a lawyer, and the couple have two children, Amalia and Gruia. Dincă’s father is a retired Romanian Orthodox priest, and his mother, a retired kindergarten teacher.
When he is not with his family or at work, Dincă might be running, hiking, or taking photographs.
Constant Exposure to the Unknown
Dincă enjoys teaching, including freshmen chemistry. For his more advanced students and postdocs, Dincă says he fosters original thinking by giving them as much responsibility as possible. “As a Principal Investigator myself, I tend to be very hands-off,” Dincă explained. “And that’s good because it allows students to take ownership of their projects and become creative themselves. In fact, most of the best ideas in my lab come from the students, not myself.”
One of the best things about being a scientist, Dincă said, is constant exposure to the unknown, and he is pleased when his commitment to basic research is recognized. “Being a Blavatnik National Award Laureate is, of course, fantastic recognition of my research, of my group’s efforts,” Dincă said. “But also, most importantly for me, it is recognition of the fact that curiosity-driven research is still appreciated.”
While curiosity may drive Dincă’s scientific inquiries, he believes applied research with new classes of MOFs will help address important environmental challenges. At the same time, there can be no doubt that one application may prove especially thrilling. “Never in my wildest dreams did I believe that just thinking about electrical current in porous materials would take me on a path to helping make an electric Lamborghini,” Dincă said. “But that is where our research has led us.”
Andrea Alù is challenging the laws of physics to improve data transmission. Oh yeah, he’s working on an invisibility cloak, too!
Published October 1, 2021
By Roger Torda
Andrea Alù
Andrea Alù isn’t satisfied with how light waves and sound travel through objects and space. So he engineers new materials that appear to violate some well-established laws of physics. Enhanced wireless communication and computing technologies, improved bio-medical sensors, and invisibility cloaks are just some of the achievements of his lab.
“We create our own materials, engineered at the nanoscale,” explained Alù, who is Director of the Photonics Initiative at the Advanced Science Research Center at the City University of New York (CUNY). “We call them metamaterials, which push technologies forward, to realize optical properties, electromagnetic properties, or acoustic properties that go well beyond what nature and natural materials offer us.”
In a recent interview with The New York Academy of Sciences (the Academy), Alù explained a core behavior of light that is at the heart of his research:
One of the most basic phenomena in optics is light refraction, which describes the change in direction of propagation of an optical beam as it enters a material. We can understand this as the collective excitation of molecules and charges in the material, produced by light. In metamaterials, we make up our own molecules—we call them metamolecules.
Metamaterials feature many different geometries of at the nanoscale. Some can be engineered to interact with light in such a way that they may actually make objects disappear from sight. It is a phenomenon called “cloaking.” Alù continued:
Engineering at the Nanoscale
This engineering at the nanoscale allows us to change the ways in which light refracts as it enters a metamaterial. By bending light in unusual ways, we can actually realize highly unusual optical phenomena, like enhancing or suppressing the reflections and scattering of light from an interface, making a small object appear much larger, or conversely, even disappear altogether, by hiding it from the impinging electromagnetic waves.
“Invisibility” has long been part of our popular imagination and science fiction, from H.G. Wells’ novels to Star Trek and Harry Potter. A pioneering theoretical step dates back to 1968, when a Russian physicist wondered if a phenomenon called “negative refraction” might be possible. But no materials featuring this property were known, and some scientists believed none would be found because negative refraction might violate widely-used equations describing the propagation of light. Thirty years later, in 2000, a team of scientists was able to demonstrate negative refraction in a metamaterial for a certain frequency of electromagnetic radiation. A few years later, experiments demonstrated actual metamaterial cloaking, and Scientific American proclaimed: “Invisibility Cloak Sees Light of Day.”
Alù started working on metamaterials in 2002, when he spent a year at the University of Pennsylvania as a visiting student. He has conducted pioneering research in the field ever since. A major achievement came in 2013. Alù, then at the University of Texas at Austin, and his collaborators, demonstrated the cloaking of a three-dimensional object using radio waves. The work showed that antennas, like the ones in our cell phones, could be made transparent to radio-waves, a finding of potential commercial and military value, as it eliminates interference between closely-spaced transmitters.
A Childhood Fascination
Alù’s interest in light and other electromagnetic waves began as a child in Italy when he was fascinated by how our radios and television sets receive broadcast information without wiring. His interest intensified in high school when he realized a “beautiful common mathematical framework” describes the propagation of light, radio signals, and sound, and the fact that no information can be transmitted faster than the speed of light.
Alù went on to study at the University of Roma Tre, where he earned a Ph.D. in electronic engineering. After a postdoctoral fellowship at the University of Pennsylvania, he joined the faculty of UT Austin in 2009, and moved to CUNY in 2018.
Nanomaterials being developed in Alù’s lab may also improve near-field microscopy for better biomedical imaging, and lead to optical computers, enabling faster and more efficient PCs that use light instead of electric signals.
Yet another area of intense research for Alù and his research team has been “breaking reciprocity,” with implications for improved transmission of sound as well as radio waves and light. “Light, sound, and radio waves, typically travel with symmetry between two points in space,” Alù explained. “If you hear me, I can hear you back. If you can see me, typically you can see me back. This property is rooted into the time reversal symmetry of the wave equations.”
Connecting Basic and Applied Research
Alù said his lab’s work in breaking this symmetry with metamaterials is a good illustration of the connection between basic and applied research:
Interestingly, making materials that transmit waves one way and not the other started as a curiosity, but it has rapidly become extremely useful, from improving data rates with which our cell phones or WiFi technologies operate to protecting sensitive lasers from reflections. This has been a very exciting quest, from basic research to applications.
Alù began his research and teaching career in the U.S. only after he earned his Ph.D. in Italy and, as a result, he found he initially had a smaller professional network than many of his peers. But Alù says the U.S. was very welcoming, and he quickly caught up:
I come from Italy and I did all my undergraduate and graduate studies there. So, coming to the U.S. first as a postdoc, then as a faculty member, I didn’t have a large support network around me, I didn’t initially have a lot of connections…. But at the same time, I have to say, the United States offers tremendous opportunities, in particular to young scientists, to help build up their research groups, and to thrive.
Alù continued: “The U.S. is an amazing country in welcoming young people, new talent, and supporting them in the broadest possible terms… An excellent example of this is the Blavatnik National Awards program, and the broad range of scientists it recognizes.”
A married research duo are studying ways to better predict the feasibility and potential economic benefits of adopting battery technologies for renewable energy.
Published May 13, 2021
By Roger Torda
(Left to Right) Graham Elliott and Shirley Meng at the 2019 Blavatnik National Awards Ceremony at the American Museum of Natural History
What can we learn from a marriage of physical and social sciences?
In an intriguing collaboration, they developed ways to better predict the feasibility and potential economic benefits of adopting battery technologies to integrate renewable energy, such as solar and wind energy, into energy grids. Together with their research team members, they published “Combined Economic and Technological Evaluation of Battery Energy Storage for Grid Applications” in the journal Nature Energy.
Meng is the Zable Chair Professor in Energy Technologies and Director of the Institute for Materials Design and Discovery at the University of California San Diego (UCSD). Elliott is also at UCSD, where he is Professor and Chair of the Department of Economics. We recently interviewed both to discuss this collaboration and what they learned through the process.
Can you tell us how this collaboration was initiated?
Meng: UCSD is a place where interdisciplinary and convergent research is not only highly valued but practiced. I founded the Sustainable Power and Energy Center (SPEC) at UCSD in 2015. SPEC reaches out beyond engineering and physical sciences to study economic and sociological issues that need to be addressed to create truly robust ecosystems for low-carbon electric vehicles and carbon-neutral microgrids. We won a competitive grant from the US Department of Energy, which provided the resources for this work.
Why did you choose to study batteries for energy grid applications? What question about batteries did you study?
Meng: With energy grids showing their age and continuing to distribute energy generated with high environmental costs, efforts that enable grids to distribute cleaner, renewable energy more efficiently would be a technological advance with a positive societal impact. While there have been exciting moves toward renewables, many problems lie ahead if we are to move from renewables being important to renewables being dominant.
Elliott: Grid energy storage remains a major challenge both scientifically and economically. Batteries, or energy storage systems, play critical roles in the successful operation of energy grids by better matching the energy supply with demand and by providing services that help grids function. They will not just transform the market for supplying energy but also transform consumer demand by lowering the prices of energy for households and businesses.
In this work, we studied the potential revenues that different battery technologies deployed in the grid will generate through models that consider market rules, realistic market prices for services, and the energy and power constraints of the batteries under real-world applications.
Bringing these together in an interactive way—examining the engineering and economic aspects as two parts of the problem together—allows for a complete look at the problem, and ultimately a better outcome for the economy.
Graham Elliott
What was the biggest finding of this collaboration? Were you surprised by your findings?
Meng: We found that while some battery technologies hold the greatest potential from an engineering perspective, the choice based on economics is less clear. The current rules of grid operations dictate which battery technologies are used for those particular grids—some of these rules may be out-of-date, and will be updated as the grids modernize. So even though we continue to see improvement in the energy/power performance of battery technologies and reduction in cost, policymakers are the ultimate decision-makers. Policymakers setting those rules have considerable influence on how fast and how successfully those battery technologies can be deployed, and therefore industry needs to work closely with policymakers to define the best practices for faster deployment of battery technologies.
We also found that there are a wide variety of factors that should be considered in choosing a battery technology. For instance, the battery recycling method is an important technical variable that determines the sustainability of a particular battery technology.
How could your findings eventually affect individual people and society? How can it help our economy?
Elliott: All gains in human welfare arise from what economists call productivity gains—people creating more with less effort, so there is more to go around. Technological advances in energy storage enable productivity gains. But for it to work, we need not only to be able to provide effective energy storage from an engineering perspective, but also it needs to be economically feasible. Different choices at the engineering stage mean differences in the economic feasibility, and how markets are arranged impacts engineering choices. Bringing these together in an interactive way—examining the engineering and economic aspects as two parts of the problem together—allows for a complete look at the problem, and ultimately a better outcome for the economy.
Meng: We are delighted to see to see that battery grid storage is starting to gain more momentum—policymakers are becoming informed about both economic and scientific, and engineering aspects of battery technologies.
A small-scale energy grid at the University of California San Diego, consisting of a network of solar cells with battery storage (Credit: University of California San Diego)
What did you learn from this collaboration? Are there any tips you would like to share with other researchers who would like to pursue similar collaborations between physical and social sciences?
Meng: Perhaps the most important thing for the collaborative team to do is to build a common vocabulary so we can truly understand each other. In our case, we started by explaining the most basic symbols and units in engineering, like the energy unit Wh (Watt-hour) and the power unit W (Watt). Without understanding the differences between these symbols, we will make mistakes in constructing important parameters in our economic modeling.
Elliott: Another thing we learned is that different fields have very different understandings of the big picture. Collaboration across fields helps focus everyone’s efforts. For example, engineers typically view markets as fixed, and the engineering problem is to find something that works for the market. Economists tend to think of products (such as batteries) as fixed and design markets that work for the available products.
There is a whole research area waiting patiently for economists to understand which parts of the engineering problem are important and for scientists and engineers to understand from their perspective which parts of the market design are important.
Shruti Puri, PhD, helps explain the challenges and the potential computational power this exciting new technology may bring about.
Published March 22, 2021
By Liang Dong, PhD
Shruti Puri, PhD, Yale University
Quantum computing is a radically new way to store and process information based on the principles of quantum mechanics. While conventional computers store information in binary “bits” that are either 0s or 1s, quantum computers store information in quantum bits, or qubits. A qubit can be both 0 and 1 at the same time, and a series of qubits together remember many different things simultaneously.
Everyone agrees on the huge computational power this technology may bring about, but why are we still not there yet? To understand the challenges in this field and its potential solutions, we recently interviewed Shruti Puri, PhD, who works at the frontier of this exciting field. Puri is an Assistant Professor in the Department of Applied Physics at Yale University, and a Physical Sciences & Engineering Finalist of the 2020 Blavatnik Regional Awards for Young Scientists, recognized for her remarkable theoretical discoveries in quantum error correction that may pave the way for robust quantum computing technologies.
What is the main challenge you are addressing in quantum computing?
Thanks to recent advances in research and development, there are already small to mid-sized quantum computers made available by big companies. But these quantum computers have not been able to implement any practical applications such as drug and materials discovery. The reason is that quantum computers at this moment are extremely fragile, and even very small noise from their working environment can very quickly destroy the delicate quantum states. As it is almost impossible to completely isolate the quantum states from the environment, we need a way to correct quantum states before they are destroyed.
At a first glance, quantum error correction seems impossible. Due to the measurement principle of quantum mechanics, we cannot directly probe a quantum state to check if there was an error in it or not, because such operations will destroy the quantum state itself.
Fortunately, in the 1990s, people found indirect ways to faithfully detect and correct errors in quantum states. They are, however, at a cost of large resource overheads. If one qubit is affected by noise, we have to use at least five additional qubits to correct this error. The more errors we want to correct, the larger number of additional qubits it will consume. A lot of research efforts, including my own, are devoted to improving quantum error correction techniques.
What is your discovery? How will this discovery help solve the challenge you mention above?
In recent years, I have been interested in new qubit designs that have some in-built protection against noise. In particular, I developed the “Kerr-cat” qubit, in which one type of quantum error is automatically suppressed by design. This reduces the total number of quantum errors by half! So, quantum computers that adopt Kerr-cat require far fewer physical qubits for error correction than the other quantum computers.
Kerr-cat is not the only qubit with this property, but what makes the Kerr-cat special is that it is possible to maintain this protection while a user tries to modify the quantum state in a certain non-trivial way. As a comparison, for ordinary qubits, the act of the user modifying the state automatically destroys the protection. Since its discovery, the Kerr-cat has generated a lot of interest in the community and opened up a new direction for quantum error correction.
As a theoretician, do you collaborate with experimentalists? How are these synergized efforts helping you?
Yes, I do collaborate quite closely with experimentalists. The synergy between experiments and theory is crucial for solving the practical challenges facing quantum information science. Sometimes an experimental observation or breakthrough will provide a new tool for a theorist with which they can explore or model new quantum effects. Other times, a new theoretical prediction will drive experimental progress.
At Yale, I have the privilege to work next to the theoretical group of Steve Girvin and the experimental groups of Michel Devoret and Rob Schoelkopf, who are world leaders in superconducting quantum information processing. The theoretical development of the Kerr-cat qubit was actually a result of trying to undo a bug in the experiment. Members of Michel’s group also contributed to the development of this theory. What is more, Michel’s group first experimentally demonstrated the Kerr-cat qubit. It was just an amazing feeling to see this theory come to life in the lab!
Are there any other experimental developments that you are excited about?
I am very excited about a new generation of qubits that are being developed in several other academic groups, which have some inherent protection against noise. Kerr-cat is one of them, along with Gottesman-Kitaev-Preskill qubit, cat-codes, binomial codes, 0−π qubit, etc. Several of these designs were developed by theorists in the early 2000s, and were not considered to be practical. But with experimental progress, these have now been demonstrated and are serious contenders for practical quantum information processing. In the coming years, the field of quantum error correction is going to be strongly influenced by the capabilities that will be enabled by these new qubit designs. So, I really look forward to learning how the experiments progress.
Professor Pardis Sabeti was able to apply findings from her research on Ebola to now develop a test for detecting COVID-19.
Published March 9, 2021
By Brittany Aguilar, PhD
Pardis Sabeti, MD, DPhil, MSc
This isn’t the first time that Pardis Sabeti, MD, DPhil, MSc, a professor of organismic and evolutionary biology at Harvard University, and newly elected member of the National Academy of Medicine, has worn the hat of viral genome detective in the earliest days of a deadly outbreak or viral disease. Sabeti and her team began sequencing Ebola samples just days after the virus was first detected in Sierra Leone during the 2013-2016 West African outbreak. Since January 2020, she has been working on diagnostics for COVID-19, developing models to predict the most sensitive and accurate assay design candidates for the rapid detection of SARS-CoV-2, including an assay that harnesses the powerful accuracy of CRISPR technology.
Describe the innovative, rapid COVID-19 test that you helped create—how does it work, and why is it an improvement on current testing methods?
Over the last several years, my lab, colleagues, and I have been developing an assortment of technologies for genomic surveillance of pathogens. In particular, we have been deeply invested in CRISPR technologies. CRISPR was first discovered within bacterial immune systems, where it is used to protect the bacteria from invading pathogens by rapidly identifying and targeting a genomic sequence with very high fidelity. Thus, it is immensely powerful as a diagnostic tool, since it can be designed to detect any sequence of genetic material with impressive accuracy.
It is an incredibly exciting technology: it is highly accurate, it would be able to rapidly detect pathogens using little equipment and a simple, paper-strip read-out, and it could be developed in a matter of days to detect newly discovered pathogens or new variants of known pathogens. Crucially, the test is also inexpensive to manufacture, which means it could be easily scaled and distributed as pathogens—or novel variants of pathogens—emerge.
Throughout the duration of the COVID-19 pandemic, some have suggested that testing is optional, unnecessary or unreliable—can you describe why the creation of rapid, reliable tests is so important? Does that change depending on where we are in the infection curve?
Testing is extremely critical to fighting the spread of any infectious disease, and this has been demonstrated through history. However, testing technology has been achievable but not prioritized—if we had invested in this space after the SARS-CoV epidemic [the SARS outbreak in 2003], I believe we could have been poised to respond to SARS-CoV-2 before it spread throughout the world.
The need for diagnostics is critical everywhere, from pre-empting a pandemic, to response and recovery. To be as useful as possible, diagnostics must also be affordable and accessible to all—this is not just in infectious disease but throughout all medicine. The sooner individuals and communities have information, the better they can respond, enabling better outcomes.
You wrote a book last year entitled “Outbreak Culture.” Are there any key learnings from that book that can be applied to COVID or future pandemics?
In this book we argue that a dysfunctional “outbreak culture”—the collective mindset that develops among responders and communities that emerges in the chaos and crucible that is disease outbreaks—poses a great threat to our ability to curb outbreaks and save lives, and that we must continually watch for and dismantle toxic response systems where possible. This includes the data and resource hoarding, perverse capitalistic incentives, the spread of misinformation, and the loss of empathy and good citizenship.
I think people are still just beginning to understand the gravity of outbreak culture and how it is operating amidst COVID. For example, we all now know the importance of detecting outbreaks, through track-and-trace methods, before they have the chance to spread widely. But what is given less attention is how those efforts can be sidelined or undermined by many surrounding societal and political forces.
I always advocate for a massively increased effort for empathy during outbreaks. We need resilient communities to be able to do the best work against infectious disease. With our trust in our fellow citizens, our leaders, and our scientists undermined during this time, it is crucial to work within the community and low to the ground. We must listen to others, respect their opinions, and understand their fears. For that reason, I believe we must double down on empathy when it comes to community participation. If we do not work with communities and support them in the right ways, we end up causing more harm than good.
About Prof. Sabeti
Pardis Sabeti, MD, DPhil, MSc is a Professor at the Center for Systems Biology and Department of Organismic and Evolutionary Biology at Harvard University and the Department of Immunology and Infectious Disease at the Harvard School of Public Health. She was a 2016 and 2017 Finalist for the Academy’s Blavatnik National Award for Young Scientists. To learn more about Dr. Sabeti and her work, click here to listen to the “Deciphering Zika” podcast.
Artificial intelligence is quickly becoming a ubiquitous part of our daily lives. What can we expect as this technology continues to grow? And how will it impact you?
Published September 14, 2020
By Liang Dong
Alexandra Boltasseva, PhD
From virtual assistants like Siri to self-driving cars and computer-aided medical diagnoses, artificial intelligence (AI) affects our lives with unprecedented speed. Slowly but steadily, scientists in a broad range of fields have started to embrace AI in their research, hoping to significantly reduce the time needed to achieve new discoveries. This trend has become more obvious in the physical sciences, and in the field of materials science in particular, which is focused on the discovery and production of new, advanced materials imbued with desirable properties or functions. Think: screens of foldable smartphones; batteries that power electric cars; or materials that bend light around them, rendering them invisible.
How exactly could AI help materials scientists? We recently interviewed three honorees of the Blavatnik Awards for Young Scientists, Alexandra Boltasseva, PhD, Professor of Electrical and Computer Engineering at Purdue University; Léon Bottou, PhD, Principal Researcher at Facebook AI Research; and Sergei V. Kalinin, PhD, Corporate Fellow at Oak Ridge National Laboratory, who are contributing to an upcoming virtual symposium on October 6 and 7, AI for Materials: From Discovery to Production. Here’s what they had to say about the opportunities, as well as the challenges, in this rising field.
It is only recently that researchers in the physical sciences, like materials scientists, have begun to incorporate AI techniques into their work. Why do we need to take advantage of AI for this field? What benefits may AI offer materials science?
Kalinin
Sergei V. Kalinin, PhD
AI offers a set of powerful tools to explore large volumes of multidimensional data in the physical sciences, and promises to uncover hidden functional relationships between the physical properties that we can observe. As such, AI methods are poised to become an inseparable part of all physical sciences, to enable discovery and hypothesis-driven research and to guide planning of experiments. We can take advantage of a broad range of AI techniques—from multivariate statistics to convolutional networks, unsupervised and semi-supervised methods, Gaussian processing, and reinforcement learning.
In addition, the proliferation of laboratory automation in areas from materials synthesis to imaging of materials’ molecular structures opens up broad opportunities for AI-driven experiments. For example, we will be able to adopt large-scale robotic systems or the microscale lab-on-a-chip platforms in our experiments, producing thousands or more materials in a single process.
Boltasseva
My own field, photonics, has truly been transformed by the concept of “inverse design,” meaning scientists input desired performances of photonic systems into computers and run physics-informed algorithms to figure out the best possible optical designs. The daunting challenge of this field lies in the inconceivably high computational power required for an exhaustive search within the extremely large, hyper-dimensional space of optical design parameters and constituent materials. Merging AI techniques with photonics is expected to not only enhance and enrich the design space, but, most importantly, to unlock novel functionalities and bring about disruptive performance improvements.
As compared to life sciences and pharmaceutical sciences, the application of AI in physical sciences is at least 10 years behind. What do you think is the biggest challenge for applying AI in physical sciences? How could the AI and physical sciences communities work together to address these challenges?
Bottou
Léon Bottou, PhD
Using machine learning in physical sciences is not an obvious proposition. Recent advances in AI have shown how tasks in computer science, such as computer vision and machine translation, can be achieved using big data. Yet it would be unwise to claim that this success can be replicated in all scientific fields. Big data only reveal statistical correlations that are not always indicative of the causal relations that physicists often seek. To solve this question, the AI and physics communities may take the strategy of defining a hierarchy of problems for which one could envision using AI, such as:
Visualizing or measuring an ongoing physical phenomenon. These problems are the most accessible to AI/machine learning because they can directly leverage recent advances in computer vision and signal analysis in collecting data from physical experiments and computations.
Explaining a physical phenomenon. These problems belong to the next rung of difficulty because we need AI/machine learning systems that incorporate enough of our current knowledge of physics, and can then clarify the phenomenon of interest by constructing something interpretable on top of our current knowledge.
Designing a physical system that leverages a certain phenomenon in new ways. These are by far the most difficult problems, because they require AI/machine learning systems to accurately predict how the physical phenomenon will be affected by changes that are not included or prominent in the experimental data on which AI models have been trained.
Boltasseva
The physical sciences community should ultimately build extensive databases to unleash the power of AI. We should even set up an ‘optical structures and materials genome’ project to construct a comprehensive dataset of photonic concepts, architectures, components, and photonic materials to enable hierarchical machine learning algorithms that could provide ultimate-efficiency devices.
Kalinin
I agree with Alexandra. AI tends to proliferate in the communities that adopt the model of open sharing of codes and data. While some areas of physics research have undergone this transformation, many more require both enabling tools and proof-of-benefit to accelerate this process.
I also want to add on to Léon’s comment on the fundamental difference between the AI and physics communities. AI starts with purely correlative models, and tends to rely on big data. In comparison, research in physical sciences is strongly based on prior knowledge to explore the cause and effect relationships, and often assumes the presence of simple rules or descriptors that can give rise to complex behaviors in macroscopic systems. Experiments in physical sciences can give rise to huge data volumes, but these data can pertain only to one specific situation of the system and hence are not “big.”
In order to further leverage the benefits of AI in physical sciences, researchers have to possess both sufficient domain knowledge in physical sciences and expertise in machine learning, or forge robust interdisciplinary collaborations. Conferences like AI for Materials will help researchers in both fields form these kinds of interdisciplinary teams.
On March 5, 2020, the New York Academy of Sciences celebrated the Laureates and Finalists and winners of the 2020 Blavatnik Awards for Young Scientists in the United Kingdom. The one-day symposium featured fast-paced, engaging research updates from nine scientists working in diverse fields within life sciences, chemistry, and physical sciences and engineering. This year’s Blavatnik UK honorees are probing the deepest mysteries ranging from the universe to the human mind, tackling longstanding questions that have occupied scientists and philosophers for millennia. Is there life beyond our Solar system? How is knowledge organized in the brain? What is the fundamental nature of gravity? Find out how this game-changing group of young scientists is working to answer these questions in this summary of the symposium.
Symposium Highlights
Environmental factors can influence the defense strategies bacteria use to fend off invading viruses. Insights into this process are advancing the potential for phage therapy as an alternative to antibiotics.
New analytical and computational tools are revealing the neural machinery that allows the brain to create models of the world and facilitates decision-making and behavior.
Chemists can exploit chirality to create novel molecules with a wide variety of applications in drug design, consumer electronics, and catalysis.
The scientific community is closer now than ever to realizing the commercial potential of nuclear fusion as a source of clean energy.
The first viable theory of massive gravity might help explain some of the biggest mysteries in physics, including the accelerated expansion of the universe.
Hosted By
Victoria Gill Science Correspondent BBC News
Speakers
Tim Behrens, DPhil University of Oxford and University College London
Ian Chapman, PhD UK Atomic Energy Authority
Matthew J. Fuchter, PhD Imperial College London
Stephen M. Goldup, PhD University of Southampton
Kirsty Penkman, PhD University of York
Claudia de Rham, PhD Imperial College London
Eleanor Stride, PhD University of Oxford
Amaury Triaud, PhD University of Birmingham
Edze Westra, PhD University of Exeter
Program Supporter
Changing the Game in Life Sciences
Speakers
Eleanor Stride, PhD University of Oxford
Edze Westra, PhD University of Exeter
Tim Behrens, DPhil University of Oxford & University College London
Engineering Bubbles
Mechanical engineer Eleanor Stride never planned to design drug delivery systems. She was “convinced I wanted to spend my career designing Aston Martins,” until a chance discussion with a supervisor piqued her interest in therapeutic applications of engineered microbubbles. Just two microns in diameter, microbubbles can be used as ultrasound contrast agents, but Stride sees a role for these tiny tools in the fight against cancer. “In many cases, the problem with cancer drugs [is] how we deliver them,” she said, explaining that systemic chemotherapy agents often cannot penetrate far enough into tumors to be effective. These drugs can also cause side effects and damage healthy tissues.
Microbubbles can help sidestep these challenges, safely encapsulating drug molecules within a stabilizing shell. The shell can be functionalized with magnetic nanoparticles, allowing clinicians to direct the bubbles’ aggregation at tumor sites and visualize them with ultrasound. As the bubbles compress and release in response to the ultrasound beam, the oscillation helps the bubbles penetrate into the surrounding tissue. “If we increase the ultrasound energy, we can destroy the bubble, allowing us to release the drugs on demand,” said Stride, noting that molecules released from a single 2-micron microbubble can circulate up to 100 times that diameter, pumping drugs deep into tumor tissues. This approach is highly localized—drugs are only released at the tumor site—which eliminates the potential for systemic toxic effects.
Ultrasound-stimulated oscillation of microbubbles creates a vortex in surrounding fluids. The vortex pumps drug molecules deep into tumor sites.
In 2019, Stride and a team of collaborators published the results of trials using oxygen-loaded magnetic microbubbles to treat malignant pancreatic tumors. In animal models, tumors treated with microbubble-delivered drugs showed dramatic spikes in cell death and also shrank in size, “which can mean the difference between a surgeon being able to remove a tumor or not,” said Stride. Additional experiments have helped hone techniques for external magnetic control of microbubbles within blood vessels to ensure precise, targeted drug delivery—a critical step toward tailoring this method for use in humans. Stride and her collaborators aim to launch a clinical trial in pancreatic cancer patients “in the very near future.”
Insights From Bacteria-Phage Interactions
As the fight against viruses dominates the news cycle, 2020 Blavatnik Awards UK Finalist Edze Westra shared an update from the front lines of a viral war billions of years in duration: the “evolutionary arms race” between bacteria and the viruses that infect them, called phages. The interactions between bacteria and phages—the most abundant biological entities on Earth—have profound implications for the development of phage-based therapies as alternatives to antibiotics.
Phages are often successful killers, but bacteria have evolved sophisticated immune strategies to resist attacks. Understanding how and when bacteria deploy each of these defensive tactics is key to designing phage therapies to treat bacterial infections.
Like humans, bacteria utilize both innate and adaptive immune responses to invading pathogens. In bacteria, innate immunity relies on the modification of surface structures to prevent phages from attaching. This system is effective, yet it creates no “record,” or memory, of which phages it encounters. The adaptive immune system, however, allows bacteria to build a database of previously encountered pathogens in the form of bits of genetic material snipped from invading phages and incorporated into the bacterium’s own DNA. The adaptive immune system, known as CRISPR immunity, forms the basis of CRISPR-Cas genome editing techniques. “There’s a critical balance between these two systems, and both are critical for survival,” said Westra, whose research aims to determine the factors that influence whether a bacterium mounts an innate or adaptive immune defense against a particular phage.
Using Pseudomonas aeruginosa, an antibiotic-resistant pathogen that often infects cystic fibrosis patients, Westra determined that a bacterium’s environment—specifically, the level of available nutrients—determined which defensive strategy was utilized. In high-nutrient environments, almost all bacteria deployed an innate immune response to phage attacks, whereas in lower nutrient settings, CRISPR immunity dominated.
The level of available nutrients influences which immune strategy bacteria use to defend against phage attacks.
In experiments using moth larvae, Westra discovered that infections were more severe when bacteria utilized CRISPR immunity, whereas bacteria that evolved innate immunity often caused less aggressive infections. “If we can manipulate how bacteria evolve resistance to phages, this could potentially revolutionize the way we approach antimicrobial resistance, with major benefits to our healthcare,” Westra said.
Building Models of the World
Computational neuroscientist Timothy Behrens is fascinated with the basic functions and decisions of everyday life—the process of navigating our home or city, the steps involved in completing household tasks, the near-subconscious inferences that inform our understanding of the relationships between people and things. Behrens designs analytical tools to understand how neuronal activity in the brain gives rise to these thought processes and behaviors, and his research is illuminating how knowledge is organized in the brain.
The activities of grid cells and place cells are well understood. By creating spatial maps of the world, grid and place cells allow us to navigate familiar spaces and locate items, such as car keys. Behrens explained that much less is known about how the brain encodes non-spatial, abstract concepts and sequence-based tasks, such as loading, running, and emptying a dishwasher. Over the past several years, Behrens and his collaborators have demonstrated that abstract information is similarly mapped as grid-like codes within the brain. “On some level, all relational structures are the same, and all are handled by the same neural machinery,” he said. This insight helps explain the effects of diseases like Alzheimer’s, which targets grid and place cells first and impacts both spatial and non-spatial knowledge.
Relational information is encoded by the same neural machinery that encodes spatial and navigational maps.
In another line of research, Behrens is probing a phenomenon called replay, during which the brain revisits recent memories as a means to consolidate knowledge about current events and anticipate future ones. Behrens illustrated the concept by showing patterns of neuronal activity as a rat runs around a track, then rests. Even at rest, the rat’s brain displays millisecond-long flashes of neuronal activity that mimic those that take place during running. “He’s not running down the track anymore, but his brain is,” said Behrens. Replay also underlies the human ability to understand a simple story even when it’s told in the wrong order. “Our knowledge of the world tells us…what the correct order is, and replay will rapidly stitch together the events in the correct order.”
Computational tools developed in Behrens’ lab have been shared with thousands of scientists around the globe as they pursue new hypotheses about the neural computations that control cognition and behavior. “It’s an exciting time to be thinking about the brain,” Behrens said.
Exploiting Molecular Shape to Develop Materials and Medicines
Consider the handshake: a greeting so automatic it takes place without thinking. Two right hands extend and naturally lock together, but as Matthew Fuchter explained, that easy connection becomes impossible if one party offers their left hand instead. The fumbling that ensues stems from a type of asymmetry called chirality. Chiral objects, such as hands, are mirror-image forms that cannot be superimposed or overlapped, and when one chiral object interacts with another, their chirality dictates the limits of their interaction. Chirality can be observed throughout nature, from the smallest biological molecules to the structures of skyscrapers.
In organic chemistry, molecular chirality can be exploited to tremendous advantage. Fuchter explained that the shape of molecules “is not only critical for their molecular properties, but also for how they interact with their environment.” By controlling subtle aspects of molecular shape, Fuchter is pioneering new strategies in drug design and devising solutions to technological problems that plague common electronic devices.
The notion of pairing complementary molecular geometries to achieve a specific effect is not unique to drug design—such synchronicities can be found throughout nature, including in the “lock and key” structure of enzymes and their substrates. Fuchter’s work aims to invent new drug molecules with geometries perfectly suited to bind to specific biological targets, including those implicated in diseases such as malaria and cancer.
Only one of these two chiral molecules has the correct orientation, or “handedness” to bind to the receptor site on the target protein.
Fuchter is also exploring applications for chirality in a field where the concept is less prominent—consumer electronics. Organic LED, or OLED, technology has “revolutionized the display industry,” allowing manufacturers to create ultra-thin, foldable screens for smartphones and other displays. Yet these features come at a steep efficiency cost—more than half of the light generated by OLED pixels is blocked by anti-glare filters added to the screens to minimize reflectiveness. A novel solution, in the form of chiral molecules bound to non-chiral OLED-optimized polymers, induces a chiral state of light called circularly polarized light. These circularly polarized, chiral light molecules are capable of bypassing the anti-glare filter on OLED screens. Fuchter noted that displays are far from the only technology that stands to be impacted by the introduction of chiral molecules. “Our research is generating new opportunities for chiral molecules to control electron transport and electron spin, which could lead to new approaches in data storage,” he said.
Making Use of the Mechanical Bond
Most molecules are bound by chemical bonds—strong, glue-like connections that maintain the integrity of molecules, which can be both simple, such as hydrogen, and highly complex, such as DNA. 2020 Blavatnik Awards UK Finalist Stephen Goldup’s work focuses on a less familiar bond. Mechanical bonds join molecules in a manner akin to an interconnected chain of links—the components retain movement, yet cannot separate.
Mechanically interlocked molecules have the potential to yield materials with “exciting properties,” according to Goldup, but in the decades since they were first synthesized, they have largely been regarded as “molecular curiosities.” Goldup’s lab is working to push these molecules beyond the laboratory bench by characterizing the properties of interlocked molecules and probing their potential applications in unprecedented ways. His work focuses on two types of mechanically bound molecules—catenanes, in which components are linked together like a chain, and rotaxanes, which consist of a ring component threaded through a dumbbell-shaped axle.
Goldup’s lab has taken cues from nature to introduce additional elements into rotaxanes, resulting in novel molecules with a variety of potential applications. For example, much as enzymes contain “pockets” within which small molecules can bind, rotaxanes too contain a space that can trap a molecule or ion of interest. Rotaxanes that bind metal ions have unique magnetic and electronic properties that could be used in memory storage devices or medical imaging. Inspired by proteins and enzymes that bind DNA, Goldup’s lab has also designed rotaxanes in which DNA itself is the “axle.” In theory, these molecules can be used to effectively “hide” portions of DNA and alter its biological behavior.
Just as enzymes bind small molecules with their structures, rotaxanes can bind molecules in the cavity between the ring and the axle.
Perhaps most significantly, Goldup’s lab has solved a longstanding obstacle to studying rotaxanes: the difficulty of making them. The problem lies in the fact that rotaxanes can be chiral even when their components are not, making it extremely challenging to synthesize a distinct “hand,” or version, of the molecule. Recalling Matthew Fuchter’s example of how an awkward left-hand/right-hand handshake differentiates the “handedness” of two chiral objects, Goldup explained how his lab developed a technique for synthesizing distinctly “left” or “right” handed rotaxanes by utilizing a chiral axle to build the molecules. “Our insight was that by making the axle portion chiral on its own, when we thread the axle into the ring, the rotaxanes we make are no longer mirror-images of each other. They have different properties, and they can now be separated,” he said. Once separate, the chiral portion of the axle can be chemically removed and replaced with other functional groups.
Goldup’s lab is conducting experiments with new mechanically-locked molecules—including chiral rotaxane catalysts— to determine where they may outperform existing catalysts.
Amino Acids as a Portal to the Past
Scientists have multiple methods for peering into the history of Earth’s climate, including sampling marine sediment and ice cores that encapsulate environmental conditions stretching back millions of years. “But this is an incomplete picture—akin to a musical beat with no notes,” said Kirsty Penkman, the 2020 Blavatnik Awards UK Laureate in Chemistry. The records of life on land—fossil records—provide “the notes to our tune, and if we know the timing, that gives us the whole melody,” she said. Archaeologists, paleontologists, and climate scientists can harmonize fossil records with climate history to understand the past, yet their efforts stall with fossils older than 50,000 years—the limit of radiocarbon dating.
Penkman’s lab is developing dating methods for organic remains that reach far deeper into the history of life on Earth. Their strategy relies not on the decay of carbon, but the conversion of amino acid molecules from one form to another. Continuing the theme of chirality from previous presentations, Penkman explained that amino acids exist in two mirror-image forms. However, the body only synthesizes amino acids in the “left-handed,” or L-form. This disequilibrium shifts after death, when a portion of L-amino acids begins a slow, predictable conversion to the right-handed, or D-form. The older the fossil, the greater the balance between D and L isomers. This conversion process, called racemization, was first proposed as a dating method in the 1960s. Yet, it became clear that some of the fossil amino acids were vulnerable to environmental factors that impact the racemization rate, and therefore the date.
About 15 years ago, Penkman discovered that minute stores of proteins within the remains of snail shells are entrapped in intracrystalline voids. These tiny time capsules are unaffected by environmental factors. Studies have since confirmed that shells found in older horizons, for example deeper underground, contain higher ratios of D-amino acids versus those found at younger sites, thus validating the technique.
Calcitic snail shells found at older horizons have higher ratios of D-amino acids than those found at younger horizons.
Snail shells are often found in archeological sites, a serendipity that has led to astonishing findings about early human migration. Shells found alongside several Paleolithic tools “dated as far back as 700,000 years,” according to Penkman. “We’ve successfully shown that early humans were living in Northern Europe 200,000 years earlier than previously believed,” she said.
Penkman’s team has analyzed remains of ostrich eggshells at some of the earliest human sites in Africa, discovering fully preserved, stable sequences of proteins in shells dating back 3.8 million years. Mammalian remains are the next frontier for Penkman’s lab. They have analyzed amino acids in ancient tooth enamel—including that of a 1.7-million-year-old rhinoceros—and are developing microfluidic techniques to sample enamel from early human remains.
Changing the Game in Physical Sciences and Engineering
Speakers
Amaury Triaud University of Birmingham
Ian Chapman UK Atomic Energy Authority and Culham Centre for Fusion Energy
Claudia de Rham Imperial College London
Worlds Beyond Our Solar System
For millennia, humans have wondered whether life exists beyond our planet. Amaury Triaud, 2020 Blavatnik Awards UK Finalist believes we are closer to answering that question now than at any other time in history. The study of exoplanets—planets that orbit stars other than the Sun—offers what Triaud believes is “the best hope for finding out how often genesis happens, and under what conditions.”
The search for exoplanets has revealed remarkable variety among stars and planets in our galaxy. “The universe is far more surprising and diverse than we anticipated,” said Triaud. Astronomers have identified thousands of exoplanets since 1995, and now estimate that there are more planets in the Milky Way than stars—”something we had no idea about ten years ago,” Triaud said. Many exoplanets orbit stars so much smaller than the Sun that these stars cannot be seen with the naked eye. Yet these comparatively small stars provide “optimal conditions” for exoplanet hunters.
Exoplanets are often detected using the transit method—as an orbiting planet passes in front of a star, its shadow temporarily dims the star’s brightness. The larger the planet relative to the star, the greater its impact on the brightness curve and the easier for astronomers to detect. While monitoring a small star 39 light-years from Earth, TRAPPIST-1, a team of astronomers, including Triaud, discovered an exoplanet system comprised of seven rocky planets similar in size to Earth, Venus, and Mercury.
“The next question is to find out whether biology is happening out there,” said Triaud, joking that the biology of interest is not little green men, but rather green algae or microbes similar to the ones that fill our atmosphere with oxygen. The presence of oxygen “acts like a beacon through space, broadcasting that here on Earth, there is life,” said Triaud, explaining that the only way to gauge the presence of life on exoplanets is through atmospheric analysis. Using transmission spectroscopy, Triaud and other astronomers will look for exoplanets that possess an atmosphere and chemical signatures of life, such as oxygen, ozone, or methane, in the atmospheric composition of exoplanets.
Measurements of spectral signatures in a planet’s atmosphere can reveal the presence of gases associated with life, including oxygen and methane.
Such analyses will begin with the launch of the James Webb telescope in 2021. In the meantime, a land-based mission called Speculoos, based partially in Chile’s Atacama desert, is monitoring 1,400 stars in search of additional exoplanets. “It’s rather poetic that from one of the most inhospitable places on Earth, we are on the path to investigating habitability and the presence of life in the cosmos,” Triaud said.
The Path to Delivering Fusion Power
“There’s an old joke that nuclear fusion is 30 years away and somehow always will be,” said 2020 Blavatnik Awards UK Finalist Ian Chapman, but he insists that the joke will end soon. According to Chapman, the “ultimate energy source” is entering the realm of reality. “We’re now in the delivery era, where fusion lives up to its potential,” he said. Low-carbon, low-waste, capable of producing tremendous amounts of energy from an unlimited fuel source—seawater—and far safer than nuclear fission, fusion power has a long list of desirable qualities. Chapman is the first to acknowledge that fusion is “really hard,” but his work is helping to ease the challenges and bring a future of fusion into focus.
Nuclear fusion relies on the collision of two atoms—deuterium, or “heavy” hydrogen, and tritium, an even heavier isotope of hydrogen. Inside the Sun, these atoms collide and fuse, producing the heat and energy that powers the star. Replicating that process on Earth requires enough energy to heat the fuel. of deutrium and tritium gases to temperatures ten times hotter than the Sun, a feat that Chapman admits “sounds bonkers, but we do it every day.”
Within fusion reactors called tokamaks, this superhot fuel is trapped between arrays of powerful magnets that “levitate” the jet as it spins around a central magnetic core, preventing the fuel from melting reactor walls. Yet this is an imperfect process, explained Chapman, and due to fuel instabilities, eruptions akin to “throwing a hand grenade into the bottom of the machine” happen as often as once per second. Chapman devised a method based on his numerical calculations for preventing these eruptions using additional magnet arrays that induce three-dimensional perturbations, or “lobes” at the edge of the plasma stream. Just as a propped-open lid on a pot of boiling water allows steam to escape, these lobes provide a path to release excess pressure.
An array of magnets near the plasma edge creates perturbations in the fuel stream, allowing pressure to escape safely.
Chapman’s technique has been incorporated into the “the biggest scientific experiment ever undertaken by humankind”—a massive tokamak called ITER, roughly the size of a football stadium and equipped with a central magnet strong enough to lift an aircraft carrier. Scheduled to begin producing power in 2025, ITER aims to demonstrate the commercial viability of nuclear fusion. “We can put 50 megawatts of power into the machine, and it produces 500 megawatts of power out,” said Chapman. “That’s enough to power a medium-sized city for a day.”
Even before ITER’s completion, Chapman and others are setting their sights on designing less expensive fusion devices. Late last year, the UK committed to building a compact tokamak that offers the benefits of fusion with a smaller footprint, and Chapman is the leader of this project.
The Nature of Gravity
Claudia de Rham, the 2020 Blavatnik Awards UK Laureate in Physical Sciences and Engineering, concluded the day’s research presentations with an exploration of nothing less than “the biggest mystery in physics today.” For decades, cosmologists and physicists have grappled with discrepancies between observations about the universe—for example, its accelerated expansion— and Einstein’s general theory of relativity, which dictates that gravity should gradually slow that expansion. “The universe is behaving in unexpected ways,” said de Rham, whose efforts to resolve this question stand to profoundly impact all areas of physics.
Understanding the fundamental nature of gravity is key to understanding the origin and evolution of the universe. As de Rham explained, gravity can be detected in the form of gravitational waves, which are produced when two black holes or neutron stars rotate around each other, perturbing the fabric of spacetime and sending rippling waves outward like a stone tossed into a pond. But gravity can also be represented as a fundamental particle, the graviton, similar to the way light can be considered as a particle, the photon, or an electromagnetic wave. Unlike the other fundamental particles such as the photon, the electron, the neutrino, or even the famously elusive Higgs boson, the graviton has never been observed. In theory, the graviton would, like all fundamental particles, exist even in a perfect vacuum, a phenomenon known as vacuum quantum fluctuation. Unknown in Einstein’s day, vacuum quantum fluctuations, when factored into the general theory of relativity, do predict an accelerated expansion of the universe. “That’s the good news,” said de Rham. “The bad news is that the predicted rate of expansion is too fast by at least 28 orders of magnitude.”
This raises the possibility that “general relativity may not be the correct description of gravity on large cosmological scales,” said de Rham. If the graviton had mass, however, it would impact the behavior of gravity on the largest scales and could explain the observed rate of expansion.
Signal patterns from gravitational wave events can serve as models for estimating the mass of the graviton. By comparing the expected signals produced by either a massless particle or a high-mass particle with actual signal patterns from detected events, physicists can place an upper and lower boundary on the graviton’s potential mass.
The idea of a massive graviton has been considered—and refuted—by physicists as far back as the 1930s. Several years ago, de Rham, along with collaborators Andrew Tolley and Gregory Gabadadze, “realized a loophole that had evaded the whole community.” Together, they derived the first theory of massive gravity. “Through gravity, we can now connect small vacuum fluctuations with the acceleration of the universe, linking the infinitely small with the infinitely large,” de Rham said.
Determining the mass of the graviton requires the most precise scale imaginable, and de Rham believes that gravitational wave observatories are perfectly suited to the task. Whether her theory will hold up in future tests remains to be seen, but when it comes to solving this epic mystery, “the possibility is now open.”
Several Laureates and Finalists of the 2020 Blavatnik Awards in the UK joined BBC science reporter Victoria Gill for the final session of the day, a wide-ranging panel discussion that touched on issues both current and future-looking.
Two themes—fear and opportunity— emerged as powerful forces shaping science and society, especially as it relates to climate change and the threat of emerging infectious disease. Gill noted that climate change is “the biggest challenge ever to face humanity,” and that many efforts to raise awareness of its impacts focus on bleak projections for the future. Asked for insights on shifting the tone of climate change communications, Kirsty Penkman acknowledged that “there needs to be a certain level of fear to get people’s attention.” She then advocated for a solutions-oriented plan rooted in the fast pace of scientific progress in clean energy, among other areas. “This is an amazing opportunity,” she said. “Humans are ingenious….in the last 120 years we’ve moved from a horse-drawn economy to a carbon-based economy, and in 5 or 20 years we could be in a fusion-based economy. We have the potential to open up a whole new world.” Eleanor Stride suggested combatting complacency by emphasizing the power of small changes in mitigating the impact of climate change. “One billion people making a tiny change has a huge impact,” she said.
The specter of a coronavirus pandemic had not yet become a reality at the time of the symposium. But Edze Westra presciently detailed the challenges of containing a highly contagious emerging pathogen in a “tightly connected world.” He commented that detecting and containing emerging diseases hinges on the development of new diagnostics, and that preventing future outbreaks will require cultural shifts to limit high-risk interactions with wildlife. For zoonotic diseases such as the novel coronavirus, “it’s all about opportunity,” Westra said.
Panelists also looked to the future of science, touching on issues of equality, discrimination, and diversity, and emphasizing the importance of raising the bar for science education. Stride noted that children are natural scientists, gravitating toward problem-solving and puzzles regardless of nationality or gender. “But something happens later,” she said, lamenting the drop in interest in science as children progress in school. “One of the things that gets lost is that creativity, which is what science really is—we’re coming up with a guess and trying to gather evidence for it—we’re not just learning a huge number of facts and regurgitating them,” she said.
In the wake of Brexit, panelists expressed concern about potential difficulties in attracting international students to their labs. “Diversity is so important,” said Penkman. “Getting ideas from all around the world from people with different backgrounds is essential to making science in the UK—and the world—the best it can be.” In her closing comments, Penkman said that ultimately, the trajectory of science comes down to the people in the field. “My eternal optimism is in the people I work with and the people I talk to when I visit schools—it’s that innate interest and curiosity. Whenever I see it, I feel that is the future of science,” she said.
“These awards are not just for the brilliant work they have already done, but also for fostering and championing world-changing work that we believe is yet to be done.”
Published March 18, 2020
By Kamala Murthy
The Blavatnik Family Foundation hosted its third annual awards ceremony and gala dinner. The event celebrated the honorees of the 2020 Blavatnik Awards for Young Scientists in the United Kingdom.
Administered by The New York Academy of Sciences, the ceremony was held on March 4, 2020 at the spectacular Banqueting House of Whitehall, London. Built in 1622 by King James IV, Banqueting House is a historic venue that is the only surviving remnant of the Palace of Whitehall and has been used for royal events for centuries.
This black-tie affair was hosted by 2001 Nobel Laureate Sir Paul Nurse, Chief Executive and Director of the Francis Crick Institute. In addition to many prominent scientists and leaders in business and academia, distinguished guests attending the ceremony included:
British Labor party politician and Member of Parliament, Lord Peter Mandelson;
2012 Nobel Laureate and developmental biologist, Sir John Gurdon;
2019 Nobel Laureate and Astronomer Prof. Didier Queloz;
Film and TV producer, Mr. Gregor Cameron;
Singer, songwriter, record producer, and former president of Epic Records, Ms. Amanda Ghost;
Ethologist, evolutionary biologist, and renowned author, Prof. Richard Dawkins;
Sir Tim Berners-Lee, the engineer and computer scientist best known as the inventor of the World Wide Web, and his wife, Lady Rosemary Berners-Lee, who is a founding member of the World Wide Web Foundation; and
Ms. Tilly Blythe, Head of Collections and Principal Curator of the Science Museum London.
During his introductory remarks, Sir Paul commented, “What makes these awards so exciting to me is that we are not just honoring an exceptional group of young scientists, we are also putting our faith and belief in their futures. These awards are not just for the brilliant work they have already done, but also for fostering and championing world-changing work that we believe is yet to be done.” Speaking to the cohort of Blavatnik Awards programs across the US, UK, and Israel he added, “We do like to think of this year’s Finalists and Laureates as the newest members of the global Blavatnik Awards family, with a connection unimpeded by geography and related to each other by shared scientific excellence.”
In each scientific category—Chemistry, Physical Sciences & Engineering, and Life Sciences—two Finalists were each awarded prizes of US$30,000, and one Laureate in each category was awarded US$100,000. Sir Paul presented medals to the three Laureates and six Finalists at the ceremony.
Physical Sciences & Engineering
In the Physical Sciences & Engineering category, CEO of the UK Atomic Energy Authority Prof. Ian Chapman , and astronomer Dr. Amaury Triaud from the University of Birmingham were honored as 2020 Blavatnik Awards in the UK Finalists. Prof. Anne-Christine Davis from the University of Cambridge introduced the 2020 Blavatnik Awards in the UK Laureate in Physical Sciences & Engineering, Prof. Claudia de Rham from Imperial College London.
Prof. Davis described de Rham as a “vibrant, passionate, and adventurous person.” She said, “I remember being completely amazed on reading the draft of her first paper for her doctorate. As I’ve watched her over the years, producing wonderful papers on aspects of gravity and cosmology, developing both as a theoretical physicist and as a person, my sense of amazement has only increased.” As Prof. Davis described, Prof. de Rham was honored for developing a, “rigorous and viable theory of massive gravity—a theory of physics that modifies Einstein’s theory of general relativity to explain the nature of gravity.”
Chemistry
Prof. Matthew Fuchter of Imperial College London and Prof. Stephen Goldup of the University of Southampton were honored as 2020 Blavatnik Awards in the UK Chemistry Finalists. Dr. Richard Preece, University Reader and Curator of Malacology at the University of Cambridge Museum of Zoology, introduced the 2020 Blavatnik Awards in the UK Laureate in Chemistry, Dr. Kirsty Penkman .
Dr. Penkman, an analytical chemist from the University of York, has revitalized a previously dismissed fossil dating technique called amino acid racemization. “Kirsty’s work has enabled substantial increases in analytical precision and far more reliable dating, covering the whole of the Ice Age far beyond the limits of radiocarbon dating.” Dr. Preece added, “By opening up this time window she is helping other scientists to better understand the chronology of human evolution and climate change.”
Life Sciences
In the Life Sciences category, biomedical engineer Prof. Eleanor Stride from the University of Oxford and Prof. Edze Rients Westra from the University of Exeter were honored as Finalists. 2020 Blavatnik Awards in the UK Laureate in Life Sciences, computational neuroscientist Prof. Timothy Behrens from the University of Oxford and University College London was jointly introduced by his friends and colleagues, neuroscientists Prof. Heidi Johansen-Berg and Prof. Matthew Rushworth, both from the University of Oxford.
Prof. Johansen-Berg began her introduction by explaining that, “Tim began his research by showing how ideas derived from statistics could be applied in novel and exciting ways to study the brain and behavior.” Prof. Rushworth added, “He has applied these ideas to understanding how we learn which choices to take, how we learn about each other in a social context, and how information is represented by the human brain—not just physical space, but abstract ideas, too.”
The following day at Banqueting House, the Blavatnik Family Foundation and the New York Academy of Sciences held its second annual public symposium entitled ” Game Changers: 9 Young Scientists Transforming Our World .” The symposium was hosted by BBC Science Correspondent Victoria Gill. With the goal of bringing the scientists and their discoveries directly to the public, all nine Blavatnik honorees presented their research in a public lecture format to an audience of approximately 200 attendees. Ms. Gill wrapped up the day of scientific lectures by leading a panel discussion reflecting current social and political issues affecting science in the UK The symposium ended with a wine and cheese reception enabling guests to network and converse directly with the honorees.
Since the Awards’ inception in 2007, over US$8.4 million have been awarded to Blavatnik Awards honorees.
Published October 22, 2019
By Kamala Murthy
On Monday, September 23, 2019, the Blavatnik Family Foundation hosted the sixth annual Blavatnik National Awards for Young Scientists Ceremony at the American Museum of Natural History in New York City. Over 225 guests attended including some of the country’s most prominent figures in science, business, and philanthropy.
Martha E. Pollack, PhD, President of Cornell University and a computer scientist, served as the Master of Ceremonies, and the Juilliard School Orchestra performed classical music arrangements throughout the evening. The ceremony began with President Pollack naming the 31 2019 Blavatnik National Awards Finalists selected from 343 nominations submitted by 168 research institutions across 44 States. President Pollack noted that “the 31 Finalists of the 2019 Blavatnik National Awards represent one of the most diverse arrays of scientists in the history of these honors. They hail from eleven different nations…from Colombia to China, Iran to India, Singapore to Slovenia, and from all across the United States. They join what is now a global community of 284 Blavatnik Scholars, working in 35 different scientific disciplines, and representing 45 different countries. And over the years, there have been 90 women honored as Blavatnik Scholars, including nine tonight.” Since the Awards’ inception in 2007, over US$8.4 million have been awarded to Blavatnik Awards honorees.
Later in the evening, the three 2019 Blavatnik National Awards Laureates were presented with their medals by Len Blavatnik, the Founder and Chairman of Access Industries and the Blavatnik Family Foundation. Each Laureate also gave a short presentation on their research.
After accepting her medal, Life Sciences Laureate and quantitative ecologist, Heather J. Lynch, PhD, spoke about her research on penguin populations. Utilizing a plethora of sophisticated techniques—including cutting-edge statistics, mathematical models, satellite remote sensing, and Antarctic field biology—Lynch aims to understand the spatial and temporal patterns of penguin colonies to predict population growth, collapse, and possible extinction. Her former post-doc advisor, William Fagan, PhD, Chair of the Department of Ecology at the University of Maryland, College Park said, “Heather is simultaneously cutting-edge in three to four different areas and that package is what makes Heather stand out, even among elite scientists. Heather is going to be one of the scientific leaders of her generation.”
Physical Sciences & Engineering Laureate, Ana Maria Rey, PhD—a quantum physicist from the University Colorado Boulder and Fellow at JILA and the National Institute of Standards and Technology (NIST)—was next to accept her medal. The Blavatnik National Awards honored Rey for her pioneering contributions to the field of theoretical atomic, molecular, and optical physics, including her paradigm-shifting theories on atomic collisions that led directly to the development of the world’s most precise atomic clock. Her mentor and friend Jun Ye, PhD, a Professor Adjoint in Physics at the University of Colorado Boulder and a Fellow at JILA and NIST, praised Rey by stating, “Ana Maria is an amazing scientist…she is very creative and collaborative, and she is very capable of solving problems ranging from practical to very deep scientific theoretical problems.”
Finally, after Chemistry Laureate Emily Balskus, PhD from Harvard University accepted her medal for her transformative work in chemical biology, she spoke about the novel chemistry of the gut microbiome and her research deciphering its role in human health and disease. She highlighted a range of discoveries from her group including their work identifying a proposed structure for colibactin, a molecule produced by the gut microbiome and thought to cause colon cancer. “Emily is a pioneer. The future of human health needs Emily’s research,” commented Catherine Drennan, PhD, Balskus’s collaborator and mentor and a Professor of Biology and Chemistry at MIT and an HHMI Investigator.
Distinguished guests attending this year’s ceremony included 2017 Nobel Laureate Michael Rosbash of Brandeis University, New York University President Andrew Hamilton, Tel Aviv University President Ariel Porat, Yale University President Peter Salovey, Interim President of Stony Brook University Michael Bernstein, Cold Spring Harbor Laboratory President and CEO Bruce Stillman, President of The New York Academy of Sciences Ellis Rubinstein, President of the Israel Academy of Sciences and Humanities Nili Cohen, Paul Singer of Elliott Management, former Citigroup Chairman Sandy Weill, Charles Hale of Hale Global, Sig Heller of Perella Weinberg Partners, Avi Fischer of Clal Industries, and John Skipper, Executive Chairman of DAZN Group.
To learn more about the Blavatnik Awards for Young Scientists, visit blavatnikawards.org.