About

I'm an undergraduate at Yale University studying Computer Science and Statistics & Data Science. My research focuses on mechanistic interpretability — understanding how deep learning models work internally through techniques like sparse autoencoders applied to diffusion transformers.

I'm also passionate about building products. I'm currently developing Neural Instinct, a proactive AI agent platform, and previously built Yalie Search, a multimodal semantic search engine for Yale's student body. Outside of CS, I hold two patents for beekeeping devices and have published three research papers in biology.

When I'm not coding or researching, you'll find me mentoring fellow students through the Yale Computer Society, organizing events with Chinese Undergraduates at Yale, or exploring new ideas at the intersection of technology and science.