Michael Kim

Michael Kim is an assistant professor of computer science. His research investigates foundational questions about responsible machine learning. Much of this work aims to identify problematic behaviors that emerge in machine-learned models and to develop algorithmic tools that provably mitigate such behaviors. More broadly, he is interested in how the theory of computation can provide insight into emerging societal and scientific challenges.

Prior to Cornell, he was a Miller Postdoctoral Fellow at UC Berkeley, hosted by Shafi Goldwasser. Kim completed his Ph.D. in the Stanford Theory Group under the guidance of Omer Reingold.