Biography
Hi, I am a first-year PhD student at Princeton University . I am recently working on machine learning systems. I got Master of Science in Computer Science student at University of California, Berkeley advised by Professor Chris Fletcher where I worked on hardware security and formal verifications. I got my Bachlor of Science in Electrical Engineering and Mathematics at UT Austin , where I also worked as an undergraduate researcher at the SPARK Research Lab , advised by Professor Mohit Tiwari .
I regularly contribute to vllm-project . I have been part of day-0 model support team for gpt-oss and Deepseek-V3.2 in vllm.
You can find my resume here .
I can be reached out at yongye [dot] zhu [at] princeton [dot] edu
- Machine Learning Systems
- Computer Architecture
- Computer Security
PhD
Princeton University
MS in Computer Science, 2025
University of California, Berkeley
BS in Electrical and Computer Engineering, 2022
The University of Texas at Austin
BS in Mathematics, 2022
The University of Texas at Austin
Experience
- Enhance observability and debuggability of critical 5G network infrastructure.
- Develop tools that assist operation team better manage cloud services.
- Explore fine-grained isolation techniques and their performance/security impact on commerical computing platforms.
- Design new fine-grained isolation techniques for modern applications where there are many security domains running concurrently.