IEEE RAS Early Career Award for Industry; Tom L. Popejoy Award for the best doctoral dissertation at the University of New Mexico (2011-2014); Distinguished Alumna by the University of New Mexico School of Engineering; Best Paper in Service Robotics at ICRA 2018; Best Paper in Reinforcement Learning for Real Life (RL4RL) at ICML 2019; Best Paper of IEEE Computer Architecture Letters in 2020; IEEE Micro Top Picks 2023 Honorable Mention.
Research Experience
Director of Research at Google DeepMind; co-founded Reinforcement Learning Research in Google Brain; founded Task and Motion Planning research in Robotics at Google; machine learning for self-driving car planning and controls in Waymo; senior researcher at Sandia National Laboratories.
Education
Ph.D. in Computer Science from the University of New Mexico; Master's in Computer Science from the University of Illinois at Urbana-Champaign
Background
Chief AI Officer, leading AI-driven drug discovery R&D. Her research focuses on safe and scalable autonomous systems, reinforcement learning, planning, and control.