Research

I am a PhD student in the MIT EECS Department, advised by Constantinos Daskalakis. My work focuses on developing machine learning frameworks that can accommodate high-dimensional data with dependencies among the observations. This supports, for example, studying behavioral data collected on networks with peer effects, and spatial or temporal data. Prior to joining MIT, I received Bachelor’s and Master’s degrees in Computer Science from the Technion, Israel.