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 … Continue reading Vladimir Braverman