Hello! I am a CS Ph.D. Student at University of California San Diego (UCSD). I am fortunate to be advised by Lianhui Qin. I obtained my Bachelor of Science degree from the Paul G. Allen School of Computer Science at the University of Washington (UW), Seattle. During my undergraduate time, I was forunated to work closely with Luke Zettlemoyer and Terra Blevins, who provided invaluable mentorship and guidance in my early research endeavors.

I am interested in securing a summer research internship in the industry. If you know of any relevant openings or could provide an introduction, I would deeply appreciate your support.

Research Interests

My research focuses on developing scalable paradigms to improve the Machine Reasoning ability in large AI Models, including Large Language Models, Vision/Multimodal Language Models, and World Models. I explore how these models can be utilized by separating the world model, which simulates the world, from the inference model, which takes actions coupled with a world model. Ultimately, I aim to solve practical real-world tasks with these large models, such as embodied AI and robotics.

Experience

Google DeepMind | Jun 2025 – Sep 2025
Position: Student Researcher
Topic: Latent Reasoning for Vision Language Models
Host: Yinpeng Chen

Honda Research Institute, USA | May 2024 – Sep 2024
Position: Research Intern
Topic: GFlowNets Post-Training for Reasoning in Vision-Language Models
Hosts: Kwonjoon Lee and Enna Sachdeva

Feel free to reach out to me for collaborations, discussions, or even a casual chat about research!