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个人简介
Baihan Lin is a neuroscientist and AI researcher at Columbia University, with extensive experience in developing data-driven solutions and human-centered interfaces for real-world applications in psychiatry, genomics, and interactive systems at leading companies such as IBM, Google X, Microsoft, Amazon, and BGI Genomics. His research in reinforcement learning, deep learning, and natural language processing has led to the development of deployed applications such as AI companions for therapists, RL models for psychiatric disorders, and adaptive prescriptors for epidemic control. Baihan's work helps to understand the neural systems and cognitive processes of biological brains, provides interactive applied systems to assist patients with psychiatric and neurological conditions, and develops next-generation AI that is affective, empathetic, and human-like. Before his PhD at Columbia University, he also holds a master's degree in Applied Mathematics from the University of Washington, Seattle and has authored 30+ publications with an H-index of 13. Baihan has published and served on program committees or reviewers for over 15 conferences and 20 journals, including top-tier venues such as NeurIPS, ICML, and Nature Scientific Reports.
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EXPERT SYSTEMS WITH APPLICATIONSno. Part E (2024): 122254-122254
IUI Workshopspp.17-24, (2023)
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arXiv (Cornell University) (2023)
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CoRR (2023)
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IJCAI '23: Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligencepp.7149-7153, (2023)
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