Hello!
I’m a Ph.D. candidate in Electrical and Computer Engineering at the University of California, Davis, expecting to graduate in June 2027.
My research focuses on making Reinforcement Learning (RL) and Reinforcement Learning from Human Feedback (RLHF) robust to adversarial manipulation. I develop attacks and defenses for preference learning and reward-based algorithms, combining theoretical analysis with experiments. My work includes publications at ICML and in IEEE Transactions on Signal Processing.
Previously, I worked on IoT and smart-home systems at Columbia University. As a Network Engineer Intern at WiLO Networks, I also owned end-to-end development of a smart-farm prototype across hardware, networking, and cloud infrastructure.
Feel free to connect or reach out!