Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
Outstanding Dissertation award in 2009; proposed neural approaches such as policy distillation, progressive nets, and elastic weight consolidation to solve the problem of catastrophic forgetting; founder and Editor-in-Chief of TMLR; executive board member of CoRL and WiML; fellow of ELLIS; founding organizer of NAISys.
Research Experience
Post-doc at CMU Robotics Institute, working with Drew Bagnell and Martial Hebert; research scientist at SRI International, Vision and Robotics group in Princeton, NJ; currently overseeing many of DeepMind’s Foundational Research.
Education
Undergraduate degree in religion and philosophy from Reed College; PhD from NYU under the supervision of Yann LeCun, focusing on machine learning, Siamese neural nets, face recognition algorithms, and deep learning for mobile robots in the wild.
Background
VP of Research at Google DeepMind. Joined DeepMind in 2014 to pursue new solutions for artificial general intelligence. Research interests include continual learning, transfer learning, and deep reinforcement learning.
Miscellany
Pronouns: she/her; photos by DeepMind on Unsplash.