Andrew Owens

Andrew Owens is an associate professor of computer science at Cornell Tech and the Cornell Ann S. Bowers College of Computing and Information Science. His research aims to create multimodal systems that learn to see, hear, and touch without human-labeled training data. Instead, these systems learn from co-occurring sensory signals, such as the correlations between the visual and audio streams of a video. His work has enabled applications that include producing soundtracks for silent videos, robotic manipulation with vision and touch, detecting AI-generated images, and generating visual illusions.

Owens is a recipient of a Sloan Research Fellowship and an NSF CAREER Award. Prior to joining Cornell, he was an assistant professor at the University of Michigan and a postdoctoral scholar at the University of California, Berkeley. He received a Ph.D. in computer science from the Massachusetts Institute of Technology in 2016 and a B.A. in computer science from Cornell University in 2010.