Baihan Lin is pursuing PhD in Computational & Systems Biology at Center for Theoretical Neuroscience and Zuckerman Mind Brain Behavior Institute in Columbia University, co-advised by Prof. Nikolaus Kriegeskorte and Prof. Ning Qian. He graduated from the University of Washington, Seattle (UW), in the NIH-funded Computational Neuroscience Training Program with B.S. in Applied & Computational Mathematics and B.A. in Psychology with Honors. Before attending Columbia, he researched on various interesting problems spanning vision neuroscience, mathematical biology, genome sciences, protein design, and human-computer interaction. Industry-wise, he maintains close collaborations with IBM Research on artificial intelligence and Microsoft Research on computational neuroscience. His major theoretical research interest lies in the intersection between geometric topology, Bayesian machine learning, dynamical/evolutionary systems and network inference, with extensive application interests in multiscale biological systems and networks, especially in neuroscience, genomics, and cognitive sciences.
BS & BA, University of Washington, Seattle Applied and Computational Mathematics, Psychology, Computational Neuroscience Program