Philip M. Kim
Donnelly Centre, University of Toronto
Machine learning methods for protein and peptide design

Speaker biography

Philip M. Kim is a professor at the University of Toronto at the Donnelly Centre and the Departments of Computer Science and Molecular Genetics. In his academic research, he has been developing novel machine learning methods for protein and peptide engineering and authored over 100 publications, 7 invention disclosures and 5 patent applications. He has co-founded several biotechnology companies, including Fable Therapeutics and TBG Therapeutics and serves as consultant and member of the scientific advisory board for others. Before setting up his lab in 2009, he was a postdoctoral fellow at Yale University and an associate with McKinsey & Co. He holds a Ph.D. from the Artificial Intelligence Laboratory and Department of Chemistry at the Massachusetts Institute of Technology and a B.S. in Physics and Biochemistry from the University of Tuebingen.