Jesse Vig’s research lies at the intersection of machine learning, social computing, and human-computer interaction. He builds systems that learn from the collective behavior of users, and designs intelligent interfaces driven by discovered knowledge. Prior to joining PARC, Jesse worked on recommender systems and social tagging systems; his focus was on designing novel systems that combine the automation of recommender systems with the user control and transparency of tagging systems. He also worked for several years as a medical software developer. Jesse completed his Ph.D. in Computer Science at the University of Minnesota and his B.A. in Mathematics at Oberlin College. He received the best paper award at the 2009 Conference on Intelligent User Interfaces and was nominated for best paper at the 2011 conference. His web design work has been featured in Popular Science magazine, and he was a top-5 finalist for Best NetArt website at the Webby awards.