Yong Jae Lee is a Professor of Computer Science at the University of Wisconsin-Madison and a Research Scientist at Adobe Research. His research interests are in computer vision and machine learning, with a focus on robust AI systems that learn to understand the multimodal world with minimal human supervision. Before joining UW-Madison, Professor Lee spent one year as Visiting Faculty at Cruise and six years as an Assistant and then Associate Professor at UC Davis. He received his PhD from the University of Texas at Austin and was a postdoc at Carnegie Mellon University and UC Berkeley. Professor Lee is an author of the widely cited paper “Visual Instruction Tuning,” which proposes LLaVA (large language and vision assistant), a large multimodal model for general-purpose visual and language understanding. He has received numerous prestigious awards, including the NSF CAREER Award and the UW-Madison SACM Student Choice Professor of the Year Award.