Coline Devin

Graduate Student Researcher

Current Research

Coline's  research interests lie at the intersections of deep learning and robotics. As data is the main driver for deep learning, and robotic data tends to be sparse, her work has focused on transferring learned behaviors from simulation, other robots and tasks, and visual models.


I am a PhD student in BAIR at UC Berkeley, advised by Professors Pieter Abbeel and Trevor Darrell. I graduated in Computer Science from Harvey Mudd College in May 2015, and I have previously interned at Google Deepmind and MILA. I am supported by the NSF GRFP and Huawei Technologies.