I am a final-year undergraduate student in Electrical and Computer Engineering at the University of Washington. I am applying to Ph.D. programs this application cycle.
My research interests lie in efficient AI computing, particularly model compression, inference acceleration, and algorithm–system co-design. I am interested in building efficient and accessible AI systems through advances in algorithms, software, and hardware.
University of Washington
B.S. in Electrical and Computer Engineering
Expected Jun. 2027
Wentai Li, Jia-Bin Huang
Dependency-aware execution pruning for efficient unified multimodal inference.
Kaicheng Yang, Sutong Lin, Yu Dai, Wentai Li
Hybrid maze generation with Aldous–Broder and Wilson algorithms, using regression to choose switching coverage.
Google · Shanghai, China
Built an AI-assisted patent screening app to compare patent claims with company products and rank matches for human review.
Carnegie Mellon University × Tongji University · Shanghai, China
Mentored undergraduates in Arduino/ESP32 prototyping, hardware integration, and debugging for interactive exhibits.
University of Washington · Seattle, WA
Supported embedded sensing research through prototyping, hardware integration, and system testing. Contributed to a BLE networking badge through PCB rework, soldering, and circuit inspection.
An AI-assisted web app for preliminary patent screening. It extracts technical features from patent claims, compares them with company products, and ranks potential matches with explanations to support human review.
React · FastAPI · LangChain · Gemini
Kaggle / The Pokémon Company
264th of 6,807 teams (top 3.9%)
University of Washington
American Regions Mathematics League (ARML)
Member of the first-place Chinese team.