Omar Mahmood
PhD Alumni
Contact: onm217@nyu.edu
Bio: Omar was a Ph.D. student at the NYU Center for Data Science (CDS), working with Kyunghyun Cho and Richard Bonneau. His research projects focused on graphical neural networks and biological network inference. Prior to CDS, Omar pursued a master’s degree in machine learning at the University of Cambridge, where his dissertation project was on deep generative models for molecule design and optimization, under the supervision of José Miguel Hernández-Lobato. Before this, Omar worked as a software engineer at a natural language processing startup, where he was responsible for successfully pitching the company’s product to a major US financial institution, and executing and coordinating the ensuing project. He also holds a Bachelor of Science, magna cum laude, in applied physics from Columbia University.