Summary
Yichuan Deng is a PhD student in Computer Science at the University of Washington with eight years of experience bridging research and teaching in computer vision, 3D reconstruction, and theoretical CS. Currently a teaching assistant at the Paul G. Allen School, he has supported core courses in algorithms, systems, and AI while also holding research roles, including a summer internship at Adobe focused on language model hallucination detection. His background combines rigorous theoretical training from USTC’s School of the Gifted Young with hands-on research exploring visual reconstruction and model reliability. Yichuan’s work reflects an interdisciplinary appetite—moving between theory and applied ML—and a talent for communicating complex concepts to students. Based in Seattle, he brings a collaborative academic mindset and a concise personal ethos: “Be yourself,” which informs his thoughtful approach to problem solving and mentoring.
8 years of coding experience
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Washington
Bachelor of Engineering - BE, Computer Science and Technology - School of the Gifted Young, Bachelor of Engineering - BE, Computer Science and Technology - School of the Gifted Young at University of Science and Technology of China