SHORT BIO
Ioannis Mitliagkas is an Associate Professor in the Department of Computer Science and Operations Research at the University of Montreal.
Before that, he was a postdoctoral scholar with the Department of Statistics and Computer Science at Stanford University. He obtained his Ph.D. from the Department of Electrical and Computer Engineering at the University of Texas at Austin. In Montreal, he also works (part-time) as a research scientist at Google DeepMind. His research spans topics in optimization, game theory, statistical learning and deep learning theory. In the past he has done work on inference problems, efficient broad-scale and distributed algorithms, and tuning complex systems.
