Yong Jae Lee is an Associate Professor in the Department of Computer Sciences at the University of Wisconsin-Madison. His research interests are in computer vision and machine learning, with a focus on creating robust visual recognition systems that can learn to understand the visual world with minimal human supervision. Before joining UW-Madison in 2021, he spent one year as an AI Visiting Faculty at Cruise, and before that, six wonderful years as an Assistant and then Associate Professor at UC Davis. 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), AWS Machine Learning Research Awards (2018, 2019), Adobe Data Science Research Awards (2019, 2022), UC Davis College of Engineering Outstanding Junior Faculty Award (2019), Sony Focused Research Awards (2020, 2023), and UW-Madison SACM Student Choice Professor of the Year Award (2022). He and his collaborators received the Most Innovative Award at the COCO Object Detection Challenge ICCV 2019 and the Best Paper Award at BMVC 2020