Andre Wibisono joins the Department of Computer Science as an Assistant Professor. His research focuses on developing fast algorithms with robust guarantees for optimization and sampling problems, motivated by applications in machine learning and game theory. His research aims to develop a better theoretical understanding of fundamental problems in optimization, sampling, and game dynamics for machine learning and for the learning problem more generally. He received his bachelor’s degrees in Mathematics and Computer Science and his master’s degree in Computer Science from MIT. He received his master’s degree in Statistics and his PhD in Computer Science from the University of California, Berkeley. He has conducted postdoctoral research at the University of Wisconsin, Madison and Georgia Institute of Technology.