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Antibody Engineering & Therapeutics US
December 15 - 18, 2024
Marriott Marquis San DiegoLive In-Person Event: December 15 - 18, 2024

Philip Kim, PhD
Professor, The Donnelly Centre for Cellular and Biomolecular Research at University of Toronto


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 90 publications, 7 invention disclosures and 5 patent applications. He has co-founded several biotechnology companies 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.

Agenda Sessions

  • Machine Learning Methods for de novo Antibody Design