211 Malone Hall

Vladimir Braverman is an associate professor of computer science whose research focuses on streaming and sketching algorithms, sub-linear algorithms, and their applications to data science, software-defined networks, cosmology, and machine learning. He has a secondary appointment in the Department of Applied Mathematics and Statistics, and is a member of the Institute for Data-Intensive Science and Engineering (IDIES) and sits on the executive committee of the Johns Hopkins Mathematical Institute for Data Science (MINDS).

Braverman received his BS and MS degrees from Ben-Gurion University of the Negev (Israel) and his PhD from the University of California, Los Angeles. He was a recipient of the National Science Foundation’s Early CAREER Award in 2017.