Yong Jae Lee is an Assistant Professor in the Department of Computer Science at the University of California, Davis. His research interests are in computer vision, machine learning, and computer graphics, with a focus on creating robust visual recognition systems that can learn to understand the visual world with minimal human supervision. Before joining UC Davis in 2014, he received his Ph.D. from the University of Texas at Austin in 2012 advised by Kristen Grauman, and was a post-doc at Carnegie Mellon University (2012-2013) and UC Berkeley (2013-2014) advised by Alyosha Efros. He received his B.S. in Electrical Engineering from the University of Illinois at Urbana-Champaign in 2006. He is a recipient of the Army Research Office (ARO) Young Investigator Program (YIP) award (2017), UC Davis Hellman Fellowship (2017), National Science Foundation (NSF) CAREER award (2018), and an AWS Machine Learning Research Award (2018).