Vladimir Braverman

Vladimir Braverman is a professor of computer science at the Johns Hopkins University whose current research focuses on the algorithmic and practical aspects of large-scale machine learning and their applications to data science and health care. He holds a secondary appointment in the Department of Applied Mathematics and Statistics and is a member of the Institute for Data-Intensive Engineering and Science, the Mathematical Institute for Data Science, and the Center for Language and Speech Processing.

He additionally holds a without-salary appointment in the Department of Diagnostic and Interventional Imaging in the McGovern Medical School at the University of Texas Health Science Center at Houston and is a visiting researcher at Google Research. Previously, he led a research group at HyperRoll, a startup company providing fast solutions for financial analytics that was acquired by Oracle in 2009.

Braverman works on efficient and provable methods, tools, and algorithms for massive datasets. His methods find applications in large-scale machine learning, software-defined networks, medical imaging, and cosmological simulations. He has published over 100 articles on these topics and his research has been partially supported by the NSF, DARPA, the Office of Naval Research, and the National Institutes of Health.

He has received a number of awards, including an NSF Early CAREER Award, a Google Faculty Award, and a Cisco Faculty Award. He also received a Best Paper Award at the 2019 USENIX Conference on File and Storage Technologies, as well as a Silver Best Paper Award at the 2021 International Conference on Machine Learning (ICML) workshop on adversarial machine learning. Braverman serves on the editorial board for the Journal of Computer and System Sciences, has served as an area chair for ICML and the Conference on Neural Information Processing Systems, and has served on program committees for numerous other conferences, including the Institute of Electrical and Electronics Engineers International Conference on Computer Communications, the Annual ACM Symposium on Theory of Computing, the ACM Symposium on Discrete Algorithms, and ACM SIGMETRICS.

Braverman received his PhD from the University of California, Los Angeles, where he received the Edward K. Rice Outstanding Doctoral Student Award from the Samueli School of Engineering in 2011.