Philip M. Kim
Our research integrates modern computational and experimental approaches to solve important problems in biomedical science. We aim to have major impact on patient care and to aid in the development of new therapies in cancer and other diseases. In turn, we are aided by the breathtaking pace of discovery in many fields of bioscience today. Thus, we apply techniques ranging from modern machine learning / artificial intelligence and computational structural biology to high-throughput experimental methods. We strongly believe that the integration of these different methodologies makes them much more powerful and that it is the combination of modern techniques that will help us have maximum impact on the future of medicine. We thus use computational and high-throughput methods to design and validate novel therapeutic compounds and develop new innovative techniques for systems biology and translational science.
- Department of Computer Science, University of Toronto
- Donnelly Centre