Research Areas


Angjoo Kanazawa is an Assistant Professor in the Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley. She leads the Kanazawa AI Research (KAIR) lab under BAIR and serves on the advisory board of Wonder Dynamics. She earned her BA in Mathematics and Computer Science from NYU working with Rob Fergus, and her PhD in Computer Science at the University of Maryland, College Park, where she was advised by David Jacobs. While in graduate school, she visited the Max Planck Institute in Tübingen, Germany, under the guidance of Michael Black. Before taking up her current teaching post, she worked as a Research Scientist at Google Research, and as a BAIR postdoc at UC Berkeley advised by Jitendra Malik, Alexei A. Efros and Trevor Darrell.

Kanazawa's research lies at the intersection of computer vision, computer graphics, and machine learning. She is focused on building a system that can capture, perceive, and understand the complex ways that people and animals interact dynamically with the 3-D world--and can used that information to correctly identify the content of 2-D photos and video portraying scenes from everyday life.


  • 2017, Ph.D., Computer Science, University of Maryland, College Park

Awards, Memberships and Fellowships