As part of the Robust Software Engineering (RSE) group in Ames’ Intelligent Systems Division, Ritchie conducts research on decision-making systems, machine learning, and controls. Of particular interest is developing algorithmic tools for the design and analysis of safety-critical cyber-physical systems including aircraft collision avoidance systems, air traffic automation, autonomous ground vehicles, and unmanned aerial systems (UASs).
Ritchie is affiliated with the Intelligent and High-Performance Systems Laboratory (IHPS) directed by Prof. Ole Mengshoel and the Stanford Intelligent Systems Laboratory (SISL) directed by Prof. Mykel Kochenderfer.
Ritchie is currently completing his Ph.D. degree in Electrical Engineering at Carnegie Mellon University. He holds an M.S. degree in Aeronautics and Astronautics Engineering from Stanford University, and a B.S. degree in Electrical Engineering from University of Waterloo.