Ronen Eldan is a senior researcher at the Weizmann Institute of Science. He received his Ph.D. from the Tel-Aviv University in 2013, under the supervision of Boáz Klartag and Vitali Milman, and has since also spent a couple of years as a postdoc at Microsoft Research, Redmond, and at the University of Washington.
Originally, a mathematician interested mainly in probability theory, functional analysis and convex geometry, in recent years his research interests have expanded toward theoretical computer science, learning theory and optimization. His two main directions of research are applying methods from stochastic calculus to proving inequalities of geometric nature in a high-dimensional setting and applying the theory of high-dimensional probability and geometry to problems in learning theory and optimization.