Vladimir Braverman

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Vladimir Braverman is the Victor E. Cameron Professor of Computer Science at Rice University. Prior to coming to Rice, he was an Associate Professor in the Department of Computer Science at Johns Hopkins University, with the secondary appointment in the Department of Applied Mathematics and Statistics. At Johns Hopkins, he was a member of Algorithms and Complexity group, the Johns Hopkins Mathematical Institute for Data Science (MINDS), the Institute for Data Intensive Engineering and Science (IDIES) and the Machine Learning group. He's also served as a Visiting Researcher with Google Research.

Braverman graduated from UCLA; before that, he led a research group at HyperRoll, a startup acquired by Oracle in 2009. Braverman’s research interests include efficient sublinear algorithms (such as sketches and coresets) and their applications to data science, machine and deep learning, systems and networks, physics and astronomy, computational genomics, oncology and radiology. He is a recipient of NSF CAREER award, Google Faculty Award and Cisco Faculty Award.

Research Areas

Algorithms with applications in machine learning, radiomics, computer networks and single-cell genomics


PhD, Computer Science, University of California, Los Angeles (UCLA), 2011

MSc, Computer Science, University of California, Los Angeles (UCLA), 2009

MSc, Computer Science, Ben-Gurion University of the Negev, Israel, 2004

BSc, Computer Science (cum laude), Ben-Gurion University of the Negev, Israel, 1998

Honors & Awards

Silver Best Paper Award (Runner-up), ICML 2021 workshop “A Blessing in Disguise: The Prospects and Perils of Adversarial Machine Learning”

Best Paper Award, the 17th USENIX Conference on File and Storage Technologies, FAST 2019

NSF CAREER Award, 2017

Cisco Faculty Award

IDIES Seed Funding Award, 2016

Google Faculty Award, 2014


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