Summary
Baihan Lin is a tenure-track professor and Berkman Klein Fellow who bridges AI, psychiatry, and neuroscience to build trustworthy neuro-AI systems that improve clinical care for neuropsychiatric patients. With a PhD from Columbia and multiple MS degrees across applied math, data visualization, and biophysics, he combines rigorous academic research (50+ publications, 9+ patents, h-index 16) with product-facing experience at Google, IBM, Microsoft, Amazon, and BGI. His work spans deep learning, NLP, speech, and computational psychiatry, emphasizing real-time algorithms and human-centered, neuroscience-inspired AI. Notable as a Bell Labs Prize and XPRIZE finalist, he routinely translates lab insights into deployed tools and policy-relevant collaborations across academia and industry. Based in New York, he also curates cross-disciplinary teaching, editorial, and workshop programs that shape the emerging field of affective and empathetic AI.
10 years of coding experience
2 years of employment as a software developer
M.S., M.S. at University of Washington
M.S., M.S. at Parsons School of Design - The New School
Shenzhen Foreign Languages School
Shenzhen Middle School
Ph.D. M.Phil. M.A., Ph.D. M.Phil. M.A. at Columbia University
English, Chinese, Spanish