Summa Cum Laude · M.Sc. Autonomous Systems, Stanford University

Autonomous Navigation in Dynamic Environments via Reinforcement Learning

Master's Graduate & Robotics Research Engineer

Completed graduate thesis on model-free reinforcement learning algorithms for bipedal robotic obstacle traversal under sensor noise. Awarded Departmental Outstanding Capstone Thesis 2025.

View Thesis & Simulation Demo Academic Honors & Grants

Graduate Thesis & Course Capstones

Peer-reviewed conference papers and published code repositories

Adaptive Latent Representation Learning for Bipedal Locomotion over Rough Terrain

L. O'Connor, Advisor: Prof. M. Torvalds

IEEE International Conference on Robotics and Automation (ICRA 2025) (2025)

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Sim-to-Real Domain Randomization for Quadruped Balance Under Impact Perturbations

L. O'Connor, K. Lindholm

Robotics: Science and Systems (RSS Workshops) (2024)

Read Paper (PDF)

Industry & Ph.D. Opportunities

Available for robotics research scientist roles, autonomous vehicle engineering, and Ph.D. fellowship positions.

liam.oconnor@alumni.stanford.edu

Palo Alto / Remote

Available for Summer / Fall 2026 roles