Suvrit Sra joins the Department of Electrical Engineering and Computer Science and the Institute for Data, Systems and Society as an assistant professor this month. He was a principal research scientist in the Laboratory for Information and Decision Systems (LIDS) at MIT. He obtained his PhD in computer science from the University of Texas at Austin in 2007. Before joining LIDS, he was a senior research scientist at the Max Planck Institute for Intelligent Systems in Tübingen, Germany. He has also held visiting faculty positions at UC Berkeley and Carnegie Mellon during 2013–14. His research bridges areas such as optimization, matrix theory, geometry, and probability with machine learning. More broadly, he is interested in data-driven questions within engineering, science, and health care. His work has won several awards at machine learning venues, as well as the 2011 SIAM Outstanding Paper Award. He founded the OPT Optimization for Machine Learning series of workshops at the Neural Information Processing Systems conference, which he has co-chaired since 2008; he has also edited a popular book with the same title (MIT Press, 2011).