Understanding psychiatric disorders isn’t just about classifying symptoms—it requires a structured approach to map how thoughts, beliefs, and meaning evolve. Language offers a powerful window into cognition, but traditional natural language processing (NLP) methods only focus on linguistic patterns without explicitly modeling the deeper structures of thought.
Dr. Lin will share an innovative computational psychiatry framework that combines language modeling, psychometric inference, and representational analysis to uncover the latent structure of mental states. He will also explore how advanced AI techniques can do more than just interpret cognition—they can mechanistically simulate mental processes, optimize interventions, and personalize psychiatric care.
Join us in person or via Zoom to hear how his breakthrough research could lead to more precise mental health interventions and personalized psychiatric care.
About Baihan Lin, PhD
Dr. Baihan Lin is a tenure-track professor at the Icahn School of Medicine at Mount Sinai, with appointments in the Departments of AI, Psychiatry, and Neuroscience, as well as the Hasso Plattner Institute for Digital Health, the Friedman Brain Institute, and the Center for Computational Psychiatry. His research focuses on building AI systems that enhance human cognition and clinical decision-making, integrating deep learning, natural language processing, and reinforcement learning to develop affective, interpretable, and neuro-inspired AI.
Dr. Lin also has over a decade of industry experience at leading technology and pharmaceutical companies (Google, IBM, Microsoft, Amazon, BGI Genomics), where he has developed real-world AI applications, including AI companions for therapists. With 50+ publications and patents, he has been recognized as an XPRIZE and Bell Labs Prize finalist.
To learn more about the DoC-IT Visiting Speaker Series, click here.
Add to Calendar2025-03-18 22:00:002025-03-18 23:00:00DoC-IT Visiting Speaker: Baihan Lin, PhD
Hybrid Event
Light refreshments will be provided.
Email [email protected] for the registration information.
About the Event
Understanding psychiatric disorders isn’t just about classifying symptoms—it requires a structured approach to map how thoughts, beliefs, and meaning evolve. Language offers a powerful window into cognition, but traditional natural language processing (NLP) methods only focus on linguistic patterns without explicitly modeling the deeper structures of thought.
Dr. Lin will share an innovative computational psychiatry framework that combines language modeling, psychometric inference, and representational analysis to uncover the latent structure of mental states. He will also explore how advanced AI techniques can do more than just interpret cognition—they can mechanistically simulate mental processes, optimize interventions, and personalize psychiatric care.
Join us in person or via Zoom to hear how his breakthrough research could lead to more precise mental health interventions and personalized psychiatric care.
About Baihan Lin, PhD
Dr. Baihan Lin is a tenure-track professor at the Icahn School of Medicine at Mount Sinai, with appointments in the Departments of AI, Psychiatry, and Neuroscience, as well as the Hasso Plattner Institute for Digital Health, the Friedman Brain Institute, and the Center for Computational Psychiatry. His research focuses on building AI systems that enhance human cognition and clinical decision-making, integrating deep learning, natural language processing, and reinforcement learning to develop affective, interpretable, and neuro-inspired AI.
Dr. Lin also has over a decade of industry experience at leading technology and pharmaceutical companies (Google, IBM, Microsoft, Amazon, BGI Genomics), where he has developed real-world AI applications, including AI companions for therapists. With 50+ publications and patents, he has been recognized as an XPRIZE and Bell Labs Prize finalist.
Upcoming Events in this Series
Optimizing Large Language Models for Detecting Co-Morbid Depression or Anxiety Symptoms in Chronic Diseases: Insights from Patient Messages
Featuring Jiyeong Kim, PhD, MPH
Monday, March 10, 2025 | 2-3 p.m. | Hybrid Event
Machine Intelligence for Healthcare Hyper-Personalization
Featuring Zeeshan Syed, PhD
Tuesday, March 25, 2025 | 3-4 p.m. | Hybrid Event
To learn more about the DoC-IT Visiting Speaker Series, click here.
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