February 9, 2018
We are pleased to share that Professor Suvrit Sra, formerly a Principal Research Scientist at LIDS, joined the MIT faculty as an Assistant Professor in January 2018 through the Institute for Data, Systems, and Society (IDSS) and the Department of Electrical Engineering and Computer Science (EECS). He will also continue being affiliated with LIDS as a Principal Investigator.
We look forward to Suvrit’s continued contributions to the lab and beyond — please join us in congratulating him!
Email Announcement from the Department of Electrical Engineering and Computer Science
I am pleased to announce that Suvrit Sra is joining EECS and IDSS as an Assistant Professor, effective January 2018.
Previously, Suvrit was a Principal Research Scientist in LIDS. Before that, he was a Senior Research Scientist at the Max Planck Institute for Intelligent Systems in Tübingen, Germany, and concurrently a visiting faculty member in EECS at UC Berkeley and in machine learning at Carnegie Mellon.
Suvrit’s research bridges a variety of mathematical topics, including optimization, matrix theory, differential geometry, and probability with machine learning. His work has won several awards at machine learning conferences, the 2011 "SIAM Outstanding Paper" award, and faculty research awards from Criteo and Amazon.
He founded and regularly co-chairs the popular OPT (Optimization for Machine Learning) series of workshops at NIPS, and edited a well-received book with the same title (MIT Press, 2011). Suvrit has been an invited lecturer on optimization at the Machine Learning Summer School (MLSS) and numerous other short schools. He revamped the Berkeley graduate optimization course, developed a new advanced course on optimization at CMU, and has co-taught graduate and undergraduate machine learning courses in EECS at MIT.
Please join me in welcoming Suvrit.
Asu Ozdaglar, Department Head, EECS