I am a 5th year PhD student in the School of Computer science at the Hebrew university of Jerusalem, where I am advised by Katrina Ligett. During the summers of 2023 and 2024 I interned at Apple, where I was mentored by Vitaly Feldman. I was honored to be part of the 2022 cohort of Apple Scholars in AIML.

Prior to my PhD, I earned a BSc in Physics, Math, and Computer Science and a MSc in Computer Science (advised by Katrina Ligett), both at the Hebrew University. At the same time, I worked as an algorithms engineer and later an algorithms team manager under the guidence of Gal Alkon.

Research interest

My work lies at the intersection data-privacy and generalizable adaptive data analysis, which I percive as two special cases of a larger goal; distilling the truths of the population from a sample set, discarding details unique to its elements.

I am currently interested in bridging the gap between theory and practice, moving beyond worse case to instance specific analysis. Concretely, I am focused on the various ways sampling constributes to the stability of data analysis.