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Bruce Tidor


About speaker

Bruce Tidor is a Professor in the Department of Electrical Engineering and Computer Science and in the Department of Biological Engineering at MIT, and a member of the Computer Science and Artificial Intelligence Laboratory. He graduated with an A.B. in Chemistry and Physics from Harvard College in 1983, and then received a Marshall Scholar award to study at Oxford University's Wolfson College, where he earned an M.Sc. in Biochemistry. He received his Ph.D. in Biophysics from Harvard in 1990 and moved to the Whitehead Institute for Biomedical Research, where he started his independent research as a Whitehead Fellow. In 1994 he was appointed to the faculty at MIT. His current activities include Faculty Lead of the MIT Skoltech Program and Director of the MIT Portugal Program; previous activities include serving as founding Director of MIT’s Computational and Systems Biology PhD program and Associate Chair of the Faculty. Dr. Tidor's research focuses on the analysis of complex biological systems at the molecular and cellular level. Using molecular modeling, machine learning, theory, and computation, he explores the structure, function, interactions, and reactivity of proteins and nucleic acids and the roles played by specific chemical groups in defining the stability, specificity, and reactivity of interacting molecules. He was made substantial advances on the problem of developing robust chemical inhibitors to rapidly mutating targets. This work advances our basic understanding of how molecules cause change in living systems and has important applications in the fields of drug development and enzyme engineering. Using cell-level models his group explores the relationship between network structure and biological function, with important applications in the fields of metabolic engineering, target identification, and synthetic biology. The work has been applied to the problem of planning and development of clinical trials for human health. He is actively involved in applying knowledge from modeling studies to rational design.