Aleksandra Faust
Scholar

Aleksandra Faust

Google Scholar ID: RK72t68AAAAJ
Genesis Therapeutics, Burlingame, CA
Reinforcement LearningFoundation ModelsAutonomyMachine LearningAGI
Citations & Impact
All-time
Citations
9,031
 
H-index
41
 
i10-index
63
 
Publications
20
 
Co-authors
181
list available
Resume (English only)
Academic Achievements
  • 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.
Miscellany
  • Hobbies and interests not mentioned