Deep Learning for Structure Based Drug Discovery by David Koes, PhD. 

David Koes is an Associate Professor in the Department of Computational and Systems Biology at the University of Pittsburgh and am an Associate Director of the Joint Carnegie Mellon-University of Pittsburgh Ph.D. Program in Computational Biology (CPCB). He develops novel computational algorithms and build full-scale systems to support rapid and inexpensive drug discovery while simultaneously applying these methods to develop novel therapeutics. David seeks to unlock the power of computation and machine learning to solve challenging, real world problems and is a staunch advocate of open source software and open science. This video is titled "Deep Learning for Structure Based Drug Discovery" and is from the NSF-NIH Workshop on Foundational AI Techniques in Biology held on June 8-9, 2023.