Vijay Pande

Vijay Pande built the Folding@home distributed computing platform for molecular dynamics simulations of protein folding, generating fundamental insights into protein conformational dynamics relevant to drug design and cancer target biology. His laboratory at Stanford developed machine learning methods for predicting drug-protein interactions from molecular dynamics trajectories, enabling identification of cryptic binding sites and allosteric mechanisms in cancer drug targets. As a venture capital investor, he has catalyzed the AI drug discovery ecosystem by supporting dozens of AI-driven biotech companies targeting cancer. His combined computational expertise and investment perspective provide unique insight into the translation of AI technologies to cancer drug development.