Prof. William M. Tang of Princeton University is Research Professor in Astrophysical Sciences, Participating Faculty at Center for Statistics and Machine Learning (CSML) and Executive Board of Princeton Institute for Computational Science & Engineering (PICSciE). He is Principal Research Physicist at the Princeton Plasma Physics Laboratory (PPPL) where he was Chief Scientist from 1998 to 2008. A Fellow of the American Physical Society, recipient of awards including 2018 NVIDIA Global Impact Award, and author of over 200 peer-reviewed journal publications with current Google Scholar h-index 63, he is PI for an AURORA Exascale Early Science Project at Argonne National Laboratory and co-author of NATURE (April 2019) article on “Predicting Tokamak Disruptions Using Deep Learning at Scale.”