Published numerous papers across top conferences and journals such as COLT, NeurIPS, and others, covering topics like stochastic analysis, Ising models, and random walks.
Research Experience
Currently the Brian and Tiffinie Pang Assistant Professor at the University of Washington; previously an Instructor (postdoc) at MIT Mathematics; spent summer 2019 at Microsoft Research AI, hosted by Sébastien Bubeck.
Education
Ph.D. from Weizmann Institute under the supervision of Ronen Eldan; B.Sc. in Mathematics and Computer Science from Ben-Gurion University, with additional studies in Cognitive Neuroscience.
Background
Broadly interested in the intersection of high-dimensional geometry, probability, statistics, information theory, and their applications to data science and learning theory. Particularly focused on normal approximations and dimension-free phenomena.