I am a researcher. I work in theoretical computer science, and I'm especially fascinated with computational and statistical learning theory.
I am currently a postdoctoral associate at MIT, hosted by Vinod Vaikuntanathan. Previously, I earned a PhD from UC Berkeley advised by Shafi Goldwasser, and an MSc from Tel Aviv University advised by Amir Shpilka and Amir Yehudayoff. I completed my undergraduate studies at the Lautman Interdisciplinary Program.
Oblivious Defense in ML Models: Backdoor Removal without Detection
Fantastic Generalization Measures are Nowhere to be Found
A Trichotomy for Transductive Online Learning
Fine-Grained Distribution-Dependent Learning Curves
PAC Verification of Statistical Algorithms
Interactive Proofs for Verifying Machine Learning
A Direct Sum Result for the Information Complexity of Learning
Learners that Use Little Information
Computational Learning Theory
Co-Instructor
UC Berkeley, CS 294-220, Spring 2021
Computability and Complexity
Teaching Assistant
UC Berkeley, CS 172, Spring 2019
Algorithms for Computational Linguistics
Instructor
Tel Aviv University, 0627-2235-01, Spring 2017
Replaced a professor that was on sabbatical
Computational Linguistics for Beginners
Teaching Assistant
Tel Aviv University, 0627-2221-01, Spring 2016
Advanced Computational Linguistics
Teaching Assistant
Tel Aviv University, 0627-4090-02, Fall 2015