Michelle Ho

Hi there! I am a AeroAstro Ph.D. candidate in the Stanford Intelligent Systems Lab, advised by Prof. Mykel J. Kochenderfer. My research is in trustworthy autonomy to operate in uncertain environments without human intervention. Some of my work has explored belief space planning with optimal control, anomaly and failure classification with world foundation models and conformal prediction thresholding, and trajectory explainability with large language models. They have been applied to domains including classical control problems, lunar rover simulations, and mobile legged robots for autonomous inspection.

I received my Bachelor’s of Science in Engineering in Mechanical and Aerospace Engineering from Princeton University, with a minor in Robotics and Intelligence Systems in 2023. During my undergrad, I was in the Intelligent Robot Motion Lab, advised by Prof. Anirudha Majumdar. My work sought to define a framework for comparing the complexity of robotic tasks. Please check out my publications to learn more!