About Me

I am a PhD candidate in the Statistics and Data Science department at The Hebrew University of Jerusalem, advised by Yuval Benjamini. I am intrested in responsible machine learning, and in particular in reproducibility. My current research focuses on generalization to new classes in few-shot learning, and on Bayesian regularization techniques.

I am also a member of the Hebrew University’s Center for Interdisciplinary Data Science Research (CIDR), where I collaborate with researchers from diverse disciplines on applied data science projects. In 2021 I founded the Data Science for Social Good (DSSG) initiative at the Hebrew University, a program aimed at promoting the use of machine learning and statistics for positive social impact.

Prior to that, I got a Master’s in Statistics from the Hebrew University, advised by Or Zuk, and I worked in the industry as a data scientist and research team leader, mainly in the fields of machine learning and natural language processing.