Philip M. Kim, PhD is a Professor at Donnelly Centre at the University of Toronto. He holds appointments at the Department of Molecular Genetics and the Department of Computer Science. He leads an integrated computational and experimental research laboratory that focuses on peptide and protein-based therapeutics. In particular, he is developing artificial intelligence as well as physics-based algorithms for peptide and protein design and is tightly integrating these with modern high-throughput wet-lab screening technologies. Before setting up his lab at the University of Toronto in 2009, he was a postdoctoral fellow at Yale University and an associate with McKinsey & Co. He holds a PhD from the Massachusetts Institute of Technology and a BS in Biochemistry and Physics from the University of Tuebingen.