Zhuohan Li
Co-creator and lead maintainer of vLLM; AI Research Scientist at Meta focusing on inference
- AI Research Scientist, Meta12
- Lead maintainer and project lead (RL integration, numerics), vLLM project34
Zhuohan Li co-created vLLM, the open-source engine for serving large language models, and co-leads its development; the project's governance document lists Zhuohan Li among the lead maintainers responsible for its overall direction. Zhuohan Li is the second author of the paper that introduced vLLM and its PagedAttention approach to KV cache memory. Zhuohan Li is an AI Research Scientist at Meta focusing on inference, and was previously a Member of Technical Staff at OpenAI, where Zhuohan Li led infrastructure and inference work for gpt-oss.135
Career
Zhuohan Li completed a PhD in computer science at UC Berkeley from 2019 to 2024, advised by Ion Stoica. During that time Zhuohan Li interned at Microsoft Research Asia, Anyscale, and Google Brain and Google DeepMind.1
From June 2024 to August 2025 Zhuohan Li was a Member of Technical Staff at OpenAI, heading infrastructure and inference work for the open-weight gpt-oss models and building training and inference systems for reasoning models such as OpenAI o1. Since August 2025 Zhuohan Li has been an AI Research Scientist at Meta, focusing on inference.1
Research and open-source work
Zhuohan Li's doctoral research was on systems for training and serving large models. Alpa (2022) automated inter- and intra-operator parallelism for distributed deep learning, and AlpaServe (2023), with Zhuohan Li as first author, used model parallelism for statistical multiplexing when serving models. Zhuohan Li's homepage also lists the Vicuna chatbot and Chatbot Arena among Zhuohan Li's projects, and Zhuohan Li co-authored the 2023 paper on judging language models with MT-Bench and Chatbot Arena.6781
The 2023 PagedAttention paper, with Zhuohan Li as second author, introduced vLLM, a serving engine that manages the KV cache in pages to reduce memory waste. Zhuohan Li co-created vLLM and co-leads its development, and the project's governance documents list Zhuohan Li as a lead maintainer.5341
Work
vLLMOpen-source code
Co-created vLLM and co-leads its development; second author of the PagedAttention paper that introduced the system, and listed as a lead maintainer and project lead in the project's governance and committers documents.1534
gpt-ossOpen weights
Led infrastructure and inference work for gpt-oss while a Member of Technical Staff at OpenAI, according to Zhuohan Li's homepage.1
Career timeline
2019
Began a PhD in computer science at UC Berkeley advised by Ion Stoica.1
Jan 2022
Co-authored Alpa, on automating parallelism for distributed deep learning.6
Feb 2023
Posted AlpaServe, on model parallelism for deep learning serving, as first author.7
Jun 2023
Co-authored "Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena".8
Sep 2023
Posted the PagedAttention paper introducing vLLM as second author.5
Jun 2024
Joined OpenAI as a Member of Technical Staff.1
Aug 2025
Joined Meta as an AI Research Scientist focusing on inference.1
Other documented roles
Roles the sources document but that are not confirmed as current.
- Member of Technical Staff, OpenAI1
- Research Intern (May 2021–April 2024), Google Brain / Google DeepMind1
- Research Intern (June 2017–March 2019), Microsoft Research Asia1
Related people
More sourced profiles at the same organization, in the same field, or from the same school.
- Adina WilliamsAlso at Meta
- Byron HsuTraining systems
- Adam GleaveAlso at DeepMind
- Alban DesmaisonAlso at Meta
- Daniel HanTraining systems
- Alex SmolaAlso from UC Berkeley
- Alexandr WangAlso at Meta
- Furu WeiAlso at Microsoft Research
- Alexei A. EfrosAlso from UC Berkeley
- Alexandre GramfortAlso at Meta
- Hao ZhangAlso from UC Berkeley
- Ali GhodsiAlso from UC Berkeley
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