Learn Basic Computing Skills to Be More Effective in the Lab

Learn Basic Computing Skills to Be More Effective in the Lab

Friday, February 5, 2016 - Saturday, February 6, 2016

The New York Academy of Sciences

 

This workshop, facilitated by Software Carpentry, aims to teach scientists and researchers at the graduate level and above in science, engineering, and medicine the basic computing concepts and skills that will let them get more done in less time, and with less effort. Our two-day curriculum shows participants how to automate repetitive tasks with the Unix shell, how to grow a program from a few lines to a few hundred using Python or R, how to track and share their work using Git, and how to manage data using SQL. Lessons alternate with hands-on practical sessions, and instructors, who are all working scientists, draw on their own experience to show how these ideas are useful in real-world situations.

R Instructors

Jonathan Borrelli

Stony Brook University

Jon is a PhD candidate in Ecology and Evolution at Stony Brook University. He is fascinated by the structure, dynamics, and evolution of ecological networks and the power of network tools to address ecological questions. He was first introduced to R in a Biometry course and found programming to be an incredibly useful tool in his research. He uses R to analyze ecological network structure, run simulations, and for permutation testing. Throughout his graduate career he has developed a passion for programming, and enjoys spreading the knowledge that he has gained.

Laura Graham, PhD

Stony Brook University

Laura Graham is an ecology postdoc at Stony Brook University. She is a spatial/computational ecologist interested in what impacts environmental changes have on species' distributions and how we can use this information in landscape and conservation planning to reduce detrimental effects. Having previously been a mathematician and database developer, she applies skills learned there to ecological questions.

Python Instructors

Jason Pell, PhD

Google

Jason Pell received his PhD in Computer Science & Quantitative Biology at Michigan State University in 2013 with C. Titus Brown (now at UC Davis) as his advisor. His research focused on making DNA sequence assembly algorithms more memory efficient, especially for metagenomics applications. After graduate school, he took on a role as a software engineer at Amazon Web Services on the ElastiCache team for almost two years. In October 2014, he took a software engineering position at Google’s NYC office where he currently works on processing pipelines for display advertising data.

Jason Williams, PhD

Cold Spring Harbor Laboratories

Jason Williams is the iPlant’s Education, Outreach, and Training Lead – Based out of Cold Spring Harbor Laboratory, Cold Spring Harbor NY, he has a background in plant molecular biology. For iPlant, Jason organizes, manages, and instructs more than a dozen annual bioinformatics workshops, conferences, and other events. He has been instructional staff at Cold Spring Harbor Laboratory's DNA Learning Center for the past 5 years, and been research staff at Cold Spring Harbor Laboratory for 5 years prior to that. Jason is also faculty at Yeshiva University – running a science immersion course at Yeshiva University High School for Girls, and is also a member of the Scientific Training Advisory Board for the Genome Analysis Centre in Norwich, UK.

Target Audience

This boot camp is designed for graduate students, postdocs, and faculty in the biomedical sciences.

Requirements

Participants must bring a laptop with a few specific software packages installed. Links to download the software will be sent before the boot camp.

Preparation

Prior to the course, registrants will be given a survey to assess their computing skills. Participants will then be separated into either a novice or intermediate class.

More Information

For more information about Software Carpentry please visit http://software-carpentry.org/

Registration Pricing

Member$85
Nonmember$100
Member (Student / Postdoc / Resident / Fellow)$65
Nonmember (Student / Postdoc / Resident / Fellow)$80

Travel & Lodging

Our Location

The New York Academy of Sciences

7 World Trade Center
250 Greenwich Street, 40th floor
New York, NY 10007-2157
212.298.8600

Directions to the Academy

Hotels Near 7 World Trade Center

Recommended partner hotel

Club Quarters, World Trade Center
140 Washington Street
New York, NY 10006
Phone: 212.577.1133

The New York Academy of Sciences is a member of the Club Quarters network, which offers significant savings on hotel reservations to member organizations. Located opposite Memorial Plaza on the south side of the World Trade Center, Club Quarters, World Trade Center is just a short walk to the Academy.

Use Club Quarters Reservation Password NYAS to reserve your discounted accommodations online.

Other nearby hotels

Conrad New York

212.945.0100

Millenium Hilton

212.693.2001

Marriott Financial Center

212.385.4900

Club Quarters, Wall Street

212.269.6400

Eurostars Wall Street Hotel

212.742.0003

Gild Hall, Financial District

212.232.7700

Wall Street Inn

212.747.1500

Ritz-Carlton New York, Battery Park

212.344.0800