Coline M. Devin

About me

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.

My current research focus is solving the transfer problem for robotics. I use deep reinforcement learning and domain adaptation methods to enable transfer between tasks, robots, and environments. I have been invited to review for the Women in Machine Learning workshop and the Continual Learning and Deep Networks workshop. In the past I have also worked on NLP and computational chemistry. I am supported by a fellowship from Huawei.

You can contact me at [my first name] [at] eecs [dot] berkeley [dot] edu.
Feel free to visit my github.