211 Malone Hall
Research Areas
Algorithms for massive data
Randomized and streaming algorithms

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.