M.S. student in Mechanical Engineering at Stanford University. I develop autonomous and interactive robotic systems through control theory, state estimation, and hands-on experimentation — and apply the same tools to biological systems, from gut microbial dynamics to inflammatory disease treatment. My long-term goal is to advance human-centered robotics for physical assistance, movement augmentation, and rehabilitation.
DiDi (~2008–2023), my best friend.
I am a Master’s student in Mechanical Engineering at Stanford University, advised by Prof. Allison Okamura (faculty) and Prof. Michaelle Mayalu (research). I completed dual B.S. degrees in Mechanical Engineering (Robotics & Controls) and Mathematics (Applied Science) at UC San Diego in three years, graduating Magna Cum Laude with a 3.95 GPA.
My research interests lie at the intersection of control theory, state estimation, and physical human-robot interaction. I am particularly drawn to biomechatronics, haptic feedback, assistive/rehabilitation robotics, and multi-agent systems. I am currently applying to PhD programs for Fall 2026.
Born and raised in Hong Kong, I speak Cantonese and Mandarin natively alongside English. Outside of research, I rebuilt my secondary school’s robotics team and established its first STEM club and makerspace.
Technical skills:Stanford Mechanical Engineering – Advisor: Prof. Michaelle Mayalu
UC San Diego – Advisor: Prof. Sonia Martinez
UC San Diego – Advisor: Prof. Prasad Gudem
Depth: Robotics & Kinematics | Breadth: Biomechanical Engineering, Automatic Controls
Key coursework: Machine Learning (Andrew Ng), Decision Making Under Uncertainty (Kochenderfer), Robot Autonomy (Bohg/Schwager), State Estimation & Filtering (Schwager), Optimal & Learning-Based Control (Pavone), Design & Control of Haptic Systems (Okamura), Biomechanics of Movement (Delp), Spectral Methods (Moin), Computer Graphics & Simulation (James/Liu), Soft Robotics (Zhao), Collaborative Robotics (Kennedy), FEA (Lew).
Completed dual degrees (ME + Mathematics, Applied Science) in three years with Provost Honors every quarter. 258 quarter units total, consistently taking 24-28 units/quarter (7-8 courses vs. the standard 4-5). Near-straight A+ in core engineering and mathematics courses.
Key coursework: Linear Control, Signals & Systems, Embedded Control & Robotics, Spacecraft Guidance, Intro to Autonomous Vehicles, ML Algorithms, Stochastic Processes, Numerical Analysis, Real Analysis, Probability.
