University of Southern California
Ph.D. in Computer Engineering
- GPA: 3.94/4.00
- Advisor: Prof. Feng Qian
Ph.D. Student in Computer Engineering · University of Southern California
I am a third-year Ph.D. student in Computer Engineering at the University of Southern California, advised by Prof. Feng Qian in the USC IMMERSE Lab. My research focuses on adaptive video streaming, where I apply reinforcement learning and conditional generative modeling to improve streaming quality on real networks. Previously, I earned degrees in Electrical & Computer Engineering and Computer Science from Duke University, working on mobile augmented reality and wearable health devices.
IEEE INFOCOM 2026 — IEEE Conference on Computer Communications
Proceedings of the IEEE-EMBS International Conference on Body Sensor Networks
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
IEEE/ACM International Conference on Information Processing in Sensor Networks
IEEE International Conference on Big Knowledge
Ph.D. in Computer Engineering
B.S.E. in Electrical & Computer Engineering (with Distinction)
B.S. in Computer Science
ECE 350: Digital Systems (Teaching Assistant) — Duke
CS 308: Advanced Software Design (Teaching Assistant) — Duke
USC Viterbi School of Engineering/Graduate School Fellowship ($45,000)
Duke Christensen Family Center for Innovation Fellowship ($4,000)
Duke Pratt Undergraduate Research Fellowship ($5,000)
National Merit Scholarship ($2,500)
Congressional Award Gold Medal