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Baihan Lin is a neuroscientist at Columbia University. Before his PhD at Columbia, Baihan held a masters
degree in Applied Mathematics from University of Washington, and have worked at IBM, Google X, Microsoft, Amazon and BGI Genomics, where he pioneered various machine learning solutions in clinical healthcare domains such as computational psychiatry and personalized medicine. His research in reinforcement learning, deep learning, and natural language processing has been translated into deployed applications such as AI companion for therapists (INTERSPEECH-22), behavioral simulator for psychiatric disorders (IJCAI-19, AAMAS-20, HBAI-20), surrounding-aware virtual reality (IJCAI-20), adaptive prescriptor for epidemic control (CEC-22, FUZZ-22) and the first register-free diarization system (INTERSPEECH-20, ACML-21). He is also a main contributor to RSAToolbox, an open-sourced software that performs statistical inference on neural systems and neural nets. He has authored over 30 publications, filed over 20 US patents and reviewed for over 40 journals or conferences. He served as the Chair for the Society for Neuroscience (SfN) 2022 Symposium on Industrial Insights and Perspectives Into Translational Neuroscience and have organized various conference tutorials. |
