Shachar Lovett

Assistant Professor, UC San Diego

Shachar Lovett has a broad interest in theoretical computer science and mathematics. In particular, he is interested in computational complexity, randomness and pseudorandomness, algebraic constructions, coding theory, discrete mathematics and additive combinatorics. Lovett is currently an assistant professor at UC San Diego. Before that, he was a postdoc at the Institute of Advanced Study with Avi Wigderson, and a PhD student at the Weizmann Institute, where he was advised by Omer Reingold and Ran Raz.

Program Visits

Analysis and TCS: New Frontiers, Summer 2023, Visiting Scientist and Program Organizer
Pseudorandomness, Spring 2017, Visiting Scientist