Summary
October 6, 2025 | 11:30 AM – 2:30 PM ET
Presented by the Lyceum Society
To attend, click the “Register” button at the time of the presentation. It will take you directly to the Zoom call.
Welcome and Introductions: 11:30 AM to 11:45 AM
Main Presentation: 11:45 AM to 2:30 PM
Mental health conditions such as bipolar disorder, depression, attention deficit and hyperactivity disorder (ADHD), and post-traumatic stress disorder (PTSD), are difficult to diagnose and treat. Symptoms overlap across these categories, mood data is hard to capture reliably, and treatments often involve trial and error with significant side effects. While diagnostic frameworks such as the DSM-5 provide a shared language for clinicians and insurers, they offer limited insight into the underlying causes of psychiatric illness or personalized strategies for intervention. To advance, psychiatry needs more precise measures of nervous system function and better ways to integrate neurobiological data with patients’ lived experience and bio-psycho-social history. The integration of multiple levels of description is essential for distinguishing root causes and identifying effective points of intervention. Marjorie Xie will describe how the field of computational psychiatry is beginning to close this descriptive gap by leveraging behavioral tasks, behavioral and physiological data, and computational models. She will conclude with an example from my current research on the science of mood in relation to attention.
Speaker
Marjorie Xie is a neuroscientist whose research bridges the brain, AI, and mental health. Her upcoming work is guided by two goals: (1) to advance mental health care by empowering clinicians and patients with scientifically grounded, clinically actionable tools, and (2) to accelerate the discovery of new treatments. From 2023–2025, she was an AI & Society Postdoctoral Fellow at Arizona State University and the New York Academy of Sciences, conducting research at the Center for Computational Psychiatry at Mount Sinai (Radulescu and Gu Labs) on the relationship between mood and attention. She previously interned at the Basis Research Institute, developing AI tools for studying collaborative intelligence in animals. Marjorie earned her PhD in Neurobiology and Behavior at Columbia University (Litwin-Kumar Lab), where she developed a computational theory of the cerebellum, a brain region involved in motor control and sensory processing. Earlier, she studied sensory processing and communication in fruit flies at Stanford (Clandinin Lab) and Princeton (Murthy Lab). She received her BA from Princeton, designing an independent major in neuroscience with additional studies in philosophy, literature, and history.
Pricing
All: Free
About the Series
The Lyceum Society is a collegial venue promoting fellowship, education, and discussion among retired members of The New York Academy of Sciences. Learn more and explore other events hosted by the Lyceum Society.
Registration
Registration has closed.