Selected Experience

Robotics at Google, Staff Research Scientist

Mountain View, California, 2019 - present

Google Brain, Senior Research Scientist

Mountain View, California, 2017 - 2019

Waymo / Google X, Senior Research Robotics Engineer

California, 2015 - 2017

Sandia National Laboratories, Senior Computer Science R&D Engineer

Albuquerque, New Mexico, 2006 - 2015

Honors and Awards

RL4RealLife at ICML Best Paper Award


Distinguished Alumna

School of Engineering, University of New Mexico, 2018

NeurIPS Top 30% Reviewer


ICRA Best Paper in Service Robotics


Tom L. Popejoy Award

University of Mexico, 2015The best doctoral dissertation in Engineering, Mathematics, and Science in the period 2011-2014

Outstanding Graduate Student in Computer Science Award

University of New Mexico School of Engineering, 2014

Tech Fiesta Albuquerque, Tech Talent Showcase 3rd place

Albuquerque, NM, 2013

Sandia National Laboratories Doctoral Studies Program Fellow

2012 - 2014

Young Scientist Fellow, Belgrade, Serbia


Ph.D. in Computer Science (with distinction), University of New Mexico, Albuquerque, NM

Dissertation Title: “Reinforcement Learning and Planning for Preference Balancing Tasks," Advisor: Lydia Tapia

Master of Computer Science , University of Illinois, Urbana-Champaign, IL

Bachelor of Science in Mathematics, University of Belgrade, Belgrade, Serbia

Concentration in Computer Science.

Selected Academic Service

  • Associate Vice President, IEEE Robotics Automation Society (RAS) Members Activities Board, 2018 - present
  • Advisory Board Member, University of New Mexico, Department of Computer Science, 2019 - present
  • Panelist for CISE Research Initiation Initiative (CRII) on Machine Learning, National Service Foundation (NSF), 2018
  • Young Professionals Co-Chair, IEEE RAS

Associate Editor

  • IEEE Robotic and Automation Letters (RA-L), 2018 - present
  • IEEE International Conference on Robotics and Automation (ICRA), 2018

Workshop organizer

Program committee

  • International Conference on Machine Learning (ICML), 2018 - present
  • International Conference on Learning Representations (ICLR), 2017 - present
  • Machine Learning in Robot Motion Planning Workshop at IROS 2018
  • Workshop on the Algorithmic Foundations of Robotics (WAFR) 2018
  • Autonomous Agents and Multiagent Systems (AAMAS) Robotics Track, 2018
  • Workshop PC Member - Robotics: Science and Systems (RSS), 2016
  • Autonomous Robots and Multirobot Systems (ARMS) Workshop at the 14th International Conference on Autonomous Agents and Multiagent Systems (AAMAS) 2015

Journal reviewer

  • International Journal of Computer Vision
  • IEEE Robotics and Automation Letters (RA-L)
  • International Journal of Robotics Research (IJRR)
  • Robotica journal
  • Journal of Robust and Nonlinear Control

Conference Reviewer



  • 2019 - US Patent, 10311658, Aleksandra Faust and Nathaniel Fairfield, “Unexpected Impulse Change Collision Detector”
  • 2019 - US Patent, 10254759, Aleksandra Faust, Matthieu Devin, Joyce Chen, Franklin Morley, Vadim Furman, Carlos Alberto Fuertes, “Interactive Autonomous Vehicle Agent”
  • 2017 - US Patent, 9828107, Peter Ruymgaart, Lydia Tapia, Aleksandra Faust, Rafael Fierro, “Redundant Component and Intelligent Computerized Control System for Multi-rotor VTOL Aircraft”


Invited Talks

  • 2019 - “Robotics at Google: Navigation in Dynamic Environments” Demo at ICML
  • 2019 - “Task and Motion Planning - Learn locally, apply globally,” BAIR / Google Meeting
  • 2019 - “Deep Learning for Motion Planning in the Dynamic World”, Stanford - Google Navigation Workshop
  • 2019 - “Deep Learning Motion and Task Planning,” University of Southern California
  • 2019 - “Overview of Deep Learning Motion and Task Planning,” Industry forum at ICRA
  • 2019 - “Robot navigation with automated reinforcement learning,” AI for Mankind
  • 2018 - “Automating Robot Learning Experiments”, Automating Robot Experiments: Manipulation and Learning, IROS
  • 2018 - “Robot Navigation: From Abilities to Capabilities,” Machine Learning in Robot Motion Planning Workshop, IROS
  • 2018 - AI for Transportation Summit
  • 2018 - "PEARL: Continuous Action Model-based Reinforcement Learning,” Columbia University
  • 2017 - Society of Women Engineers WE17 Plenary on AI and Hi - 15,000 attendees
  • 2017 - CogEdge workshop w/ MICRO 50 (declined)
  • 2017 - “PEARL: Continuous Action Model-based Reinforcement Learning,” Electronic Materials Symposium (EMS)
  • 2016 - Women Techmakers Summit, Chicago
  • 2018, 2016 - University of New Mexico
  • 2016 - University of Belgrade
  • 2016 - Science, Technology, Engineering, Art, and Math Committee, PAUSD