Wednesday, May 22, 2024

34th Annual Albert J. Silverman Research Conference

10:00 AM to 12:00 PM
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Rachel Upjohn Building Second Floor Atrium and Auditorium  

The lectures will be in person and webcast via Zoom.

Psychiatry in the Age of Generative Artificial Intelligence

This conference will begin with a poster session from 8:00 - 9:45 AM in the second floor atrium of the Rachel Upjohn Building.  Researchers will discuss their academic presentations from the past year. Breakfast refreshments will be provided. All are welcome to attend.

 

Talk titles

“Large Language Models and Other Natural Language Processing Techniques to Study Adolescent Suicidality in School-Based Anonymous Reporting Systems”

Elysse J. Thulin, Ph.D.

“Language Feedback Generation for Counseling Training” 

Veronica Perez-Rosas, Ph.D. 

“Discovering Markers and Mechanisms of Mental Disorders with Natural
Language Processing and Daily Thought Sampling”

Chandra Sripada, M.D., Ph.D. 

“Measuring and Improving Mental Health Through Social Media and LLMs”

Johannes C. Eichstaedt, Ph.D. 

About Dr. Silverman 

Activity preview

 

Speakers

Elyse Thulin, Ph.D.

Research Assistant Professor
U-M Institute for Firearm Injury Prevention
University of Michigan

Dr. Thulin is a Research Assistant Professor with the U-M Institute for Firearm Injury Prevention. Dr. Thulin uses mixed behavioral science and data science methods to understand factors that enhance the risk of firearm-related injury in adolescent and emerging adult populations, including mental health and substance use, variations by intent, gender, and rurality, and ways that technology and online spaces can exacerbate or be leveraged to reduce the risk of harm. Her projects include evaluating student-submitted tips to a statewide Anonymous Report System, which is funded by the Centers for Disease Control and Prevention. Dr. Thulin graduated from the University of Michigan in 2022 with two PhDs, studying Health Behavior Health Education and Computational Science, and completed dual postdoctoral fellowships in Psychiatry at Michigan Medicine and Data Science at the Michigan Institute for Data Science. Before matriculating at UM, Dr. Thulin lived in Kenya and Sierra Leone, managing mixed-methods research projects.

Photo of Veronica Perez Rosas

Veronica Perez-Rosas, Ph.D.

Assistant Research Scientist
Computer Science and Engineering
University of Michigan

Veronica Perez-Rosas is an Assistant Research Scientist at the University of Michigan. She received her Ph.D. in Computer Science and Engineering from the University of North Texas in 2014. She is a member of the Language and Information Technologies group at University of Michigan. Her research interests include machine learning, natural language processing, computational linguistics, affect recognition, and multimodal analysis of human behavior. Her research focuses on developing computational methods to analyze, recognize, and predict human behaviors during social interactions. She has authored papers in leading conferences and journals in Natural Language Processing and Computational linguistics and served as a program committee member for multiple international journals and conferences in the same field.

Chandra Sripada, M.D. Ph.D.

Professor
Department of Psychiatry

Dr. Sripada’s research investigates neurocognition, executive functions, and regulatory control across a range of psychiatric disorders, especially attention-deficit/hyperactivity disorder and substance use disorders. His research uses multiple methods, especially neuroimaging and computational methods, to better understand, diagnose, and treat these conditions.  Important themes of recent work include: 1) connectomics – mapping structural and functional networks encompassing hundreds of thousands of connections across the brain; 2) multivariate methodology – quantifying distributed patterns associated with disorders using methods from statistics and computer science; 3) developmental focus – mapping altered maturational trajectories of brain networks in youth. Recent articles appeared in PNAS, Journal of Neuroscience, and JAMA Psychiatry, and are available at Sripada’s lab website(link is external).

Key Note

Johannes Eichstaedt, Ph.D.

Assistant Professor
Stanford University

Personal Statement:

Dr. Eichstaedt is a computational social scientist in psychology, an Assistant Professor in Psychology, and the Shriram Faculty Fellow at the Institute for Human-Centered Artificial Intelligence.

At Stanford, he directs the Computational Psychology and Well-Being lab. In 2011, he co-founded what is now a big data psychology consortium, the World Well-Being Project at the University of Pennsylvania.

Dr. Eichstaedt uses social media (Facebook, Twitter, Reddit, etc.) to measure the psychological states of large populations and individuals to determine the thoughts, emotions, and behaviors that drive physical illness (like heart disease), depression, or support psychological well-being. 

Host

Albert J. Silverman Research Conference Committee

Chandra Sripada, M.D., Ph.D. - Committee chair
Alex Weigard, Ph.D.
Elyse Thulin, Ph.D.
Grand Rounds