Andy Zeng

Andy Zeng is a research scientist at Google Brain working on computer vision and machine learning for robotics. His research focuses on manipulation and self-supervised deep learning, to enable machines to intelligently interact with the physical world and improve themselves over time. These days, he is particularly interested in how equivariance can be used to exploit symmetries in the data for more efficient robot learning. Andy received his Bachelors Double Major in Computer Science and Mathematics at UC Berkeley, and his Masters and PhD degrees in Computer Science at Princeton University.