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Basilis Gidas is a Professor of Applied Mathematics at Brown University, specializing in various fields including Mathematical Physics, Computer Vision, and Computational Molecular Biology. He holds a B.Sc. from the National Technical University of Athens in Greece, an M.A. in Mathematics, an M.S. in Physics, and a Ph.D. in Mathematical Physics from the University of Michigan. He has been elected a Fellow of the Institute of Mathematical Statistics and has held positions at prominent institutions such as Rockefeller University and the Institute for Advanced Study in Princeton. His research interests span transcriptional regulatory networks, signal transduction pathways, and ab initio protein folding, with a focus on Bayesian statistics and computational approaches to complex biological problems. Over the past eight years, he has developed innovative methods to analyze cell growth, proliferation, and apoptosis using advanced statistical techniques. His work incorporates large-scale data analysis with applications in genomics and proteomics, striving toward understanding the regulatory mechanisms that govern cellular functions. Gidas is actively involved in teaching, contributing to courses in statistical inference and mathematical statistics at the university.
Department: Department of Economics