Annual Conference Computational Learning Theory · 2023
Cited
24
Resume (English only)
Academic Achievements
Awarded the ACM SIGEcom Doctoral Dissertation Award and Google PhD Fellowship. Published multiple papers in areas such as algorithmic learning theory, computational learning theory, and neural information processing systems.
Research Experience
Before Yale, was a postdoc at the EECS Department of UC Berkeley, working with Michael Jordan.
Education
PhD from the EECS Department at MIT, advised by Constantinos Daskalakis; Undergraduate studies at NTUA, worked with Dimitris Fotakis.
Background
Research interests include: Theoretical Machine Learning, Statistics, Optimization, Computational Complexity, Game Theory, Mechanism Design. Currently an assistant professor of Computer Science at Yale University.