About Me

I am a Founder’s Postdoctoral Research Scientist in the Department of Statistics at Columbia University, working with David Blei. I am intrested in responsible machine learning, and in particular in reproducibility. My current research focuses on uncertainty estimation, especially under distribution shifts, out-of-distribution generalization, and variational empirical-Bayes approaches.

Before joining Columbia, I was a PhD candidate in the Statistics and Data Science department at The Hebrew University of Jerusalem, advised by Yuval Benjamini. During my PhD I worked mainly on generalization to new classes in few-shot learning, and on Bayesian regularization techniques. I was also a member of the Hebrew University’s Interdisciplinary Data Science Research (CIDR), where I collaborated 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.

Before that, I got my Master’s in Statistics also 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.