Petr Popov

Dr. Petr Popov received PhD in Applied Math and Computer Science at Inria – Grenoble Rhone-Alpes, where he was developing algorithms for molecular modelling and computational chemistry in the Nano-D team. Later Dr. Popov joined Moscow Institute of Physics and Technology and the Bridge Institute of University of Southern California, where he developed structure analysis and machine learning tools to study structure and function of transmembrane proteins. Dr. Popov contributed to the structure determination of G-protein coupled receptors, which are one of the most important pharmacological targets, resulting in publications in top-ier scientific journals. His research mainly focuses on machine learning techniques applied for structure-based drug discovery.