Yinwei Dai
I am a graduating Computer Science Ph.D. student (expected Dec. 2026) at Princeton University, working with Prof. Ravi Netravali. I am affiliated with Princeton Systems for AI Lab (SAIL).
I obtained my M.S.E. and B.S.E. in Computer Science at the University of Michigan, where I worked with Prof. Mosharaf Chowdhury and Prof. Harsha V. Madhyastha on networked systems, and a B.S.E. in Electrical and Computer Engineering from Shanghai Jiao Tong University.
My research lies at the intersection of systems and machine learning. I build efficient and scalable systems for serving/training AI through algorithm–system co-design—treating algorithms and the systems that run them as a joint design space, rather than two fixed layers. My work spans the growing landscape of pervasive AI: from monolithic models to compound agentic systems, and from digital to physical AI.
Publications ( / )
* equal contribution
Experience
- Meta, Research Intern, AI and Systems Co-Design Team (2026/05 – 2026/08)
Training infra for LLMs. - Microsoft Research, Research Intern, Intelligent Networked Systems Group (2025/05 – 2025/08)
Serving infra for physical AI.
Teaching
- COS 418: Distributed Systems, Princeton (Winter 2024)
- COS 316: Principles of Computer System Design, Princeton (Fall 2023)
- EECS 442: Computer Vision, UMich (Winter 2022)
- EECS 489: Computer Networks, UMich (Fall 2021)
Service
- Conference Reviewer: NeurIPS (Main and D&B Track) 2022–2026; MLSys 2026
- Journal Reviewer: Transactions on Mobile Computing 2022, 2025
- Artifact Evaluation Committee: SIGCOMM 2022, MLSys 2023
Misc
- My name in Chinese: 戴寅炜
- If you want to chat with me, please send me an email!