Emmanouil Vlatakis

Emmanouil Vlatakis is an Assistant Professor in Computer Sciences at the University of Wisconsin-Madison. His research develops theoretical frameworks for optimization and learning algorithms beyond worst-case analysis, with applications to machine learning and game theory. Previously a Simons-FODSI Postdoctoral Fellow at UC Berkeley, he received his PhD from Columbia University.

Research Focus: Smoothed complexity analysis of optimization problems, learning dynamics in games, and avoiding spurious equilibria in non-convex landscapes. His work appears in NeurIPS, STOC, and ICML.