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I am a masters student at UCSD pursuing an M.S. in Mechanical Engineering, where I work with Sylvia Herbert. I am also co-advised by Jason Choi at UCLA. I plan to pursue a Ph.D. beginning in Fall 2027, with research interests at the intersection of control theory and machine learning for safe and robust robotics. My long-term goal is to develop learning-based decision making algorithms with an emphasis on safety and performance guarantees that can be deployed on real-world systems. Email / CV / Google Scholar / Github |
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Machine learning / Autonomous systems / Safe and robust control / Foundational models |
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MADR: MPC-Guided Adversarial DeepReach
Ryan Teoh*, Sander Tonkens*, William Sharpless, Anija Yang, Zeyuan Feng, Somil Bansal, Sylvia Herbert
Presented at the Internation Conference on Robotics and Automation (ICRA 2026 Vienna). [project page]
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Deep Reinforcement Learning Control of an Oscillating Hydrofoil to Maximize Power Extraction
Ryan Teoh, Zhecheng Liu, Jeff Eldredge
Presented at the Southern California Fluids Conference (SoCal Fluids), 2025. [conference presentation] [poster]
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Master of Science (M.S.) in Mechanical Engineering
University of California, San Diego Advisor: Sylvia Herbert September 2026 — Present |
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Bachelor of Science (B.Sc.) in Aerospace Engineering, Minor in Data Science Engineering
University of California, Los Angeles September 2022 — March 2026 |
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Feel free to contact me regarding my research—I am always happy to brainstorm and share my ideas. I can be contacted directly at ryanteoh001 [at] gmail [dot] com. |
| Template sourced from Jon Barron at https://github.com/jonbarron/website. Last updated in May 2026. |
