Office: B19 #1024
Ritchie Lee, Research Scientist
Areas of Interest
Unmanned systems, mobile autonomous vehicles
M.S. 2008, Aeronautics and Astronautics Engineering, Stanford University
Ritchie Lee is a staff researcher at Carnegie Mellon University Silicon Valley located at the NASA Ames Research Center. As part of the Robust Software Engineering (RSE) group in Ames' Intelligent Systems Division, his primary research focus is applying decision-making, learning, and probabilistic modeling techniques to a wide variety of problems in aerospace, such as verification and validation of aviation systems, air traffic management, and intelligent control of autonomous vehicles.
Ritchie is currently working on applying reinforcement learning techniques for the adaptive stress testing of the next-generation airborne collision avoidance system (ACAS X).
Ritchie's past involvements include the SWIFT UAS project to perform autonomous aerial magnetic surveys, game theoretic modeling of human decision-makers, development of small spacecraft and microrovers, unmanned ground and underwater vehicles, embedded systems for helicopter aerobotics, manipulators, as well as a variety of industry experience.
Ritchie is currently pursuing a part-time Ph.D. degree at Carnegie Mellon University. He holds an M.S. in Aeronautics and Astronautics Engineering from Stanford University, and a B.S. in Electrical Engineering from University of Waterloo.