Summary
Thomas Lew is a Senior Research Scientist with nine years of experience designing decision-making, learning, and control algorithms for autonomous systems across academia and industry. He holds a PhD in Aeronautics & Astronautics from Stanford and an MSc in Robotics from ETH Zürich, and has shipped research at Toyota Research Institute after internships at Google Brain (robotic table-wiping RL + optimal control) and NASA JPL (IMU-only inertial odometry for quadrotors in the SubT challenge). His work spans resilient control, safe learning, and risk-constrained optimal control, with hands-on implementations validated on platforms from quadrotors to quadrupeds. Known for bridging theory and practice, he combines rigorous academic methods with production-minded experimentation in robotics and autonomy. A subtle throughline in his career is tackling perception-poor or resource-limited settings (IMU-only navigation, contact inertial odometry, constrained aerobraking), making him adept at robust decision-making under uncertainty.
9 years of coding experience
1 year of employment as a software developer
Hong Kong University of Science and Technology (HKUST)
Bachelor's degree, Microengineering, Bachelor's degree, Microengineering at Ecole polytechnique fédérale de Lausanne
Master's degree, MSc in Robotics, Systems and Control, Master's degree, MSc in Robotics, Systems and Control at ETH Zurich
Doctor of Philosophy - PhD, Aeronautics & Astronautics, Doctor of Philosophy - PhD, Aeronautics & Astronautics at Stanford University
French, English, German, Polish