# LMSYS 2026 年博士奖学金首位获得者：Will Lin

- 来源：LMSYS：Blog（Chatbot Arena 团队）
- 发布时间：2026-06-08 10:59
- AIHOT 分数：48
- AIHOT 链接：https://aihot.virxact.com/items/cmq4mi0q302cdslot4pwi0jo0
- 原文链接：https://www.lmsys.org/blog/2026-06-08-lmsys-phd-fellowship

## AI 摘要

LMSYS 宣布 2026 年博士奖学金首位得主 Will Lin。他是加州大学圣地亚哥 Hao AI 实验室六年级博士生，领导开源框架 FastVideo（GitHub 3.7k+ 星标），已被 NVIDIA Dynamo 集成，其模块化流水线影响 SGLang 等多模态生成设计。奖学金最高 5 万美元。他的研究覆盖生成式视频与世界模型全栈，包括稀疏注意力、量化、蒸馏、后训练、实时推理，共同主导首个交互延迟 1080p 文图到音视频生成流水线，近期包括自回归世界模型训练。他曾于 Anyscale 实习，现于 NVIDIA 实习推动产业合作。

## 正文

Announcing the Recipient of the 2026 LMSYS PhD Fellowship - LMSYS Blog | LMSYS Org

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‹ Back to Blog

‹ Back to Blog Announcing the Recipient of the 2026 LMSYS PhD Fellowship

LMSYS Board June 08, 2026

We are delighted to announce the first recipient of the LMSYS Fellowship Program: **Will Lin**.

Following the launch of our Fellowship Program and careful review of applications, we selected Will for his exceptional and sustained contributions to open-source AI infrastructure. The fellowship awards up to $50,000 to support his tuition and fees.

Please join us in congratulating Will!

Will Lin is a 6th-year PhD student in the Hao AI Lab at UC San Diego, advised by Hao Zhang. He leads FastVideo, an open-source framework for accelerated diffusion generation and post-training that has grown to 3.7k+ GitHub stars, with integration as a backend in NVIDIA Dynamo. Its modular pipeline architecture has influenced multimodal generation designs in projects including SGLang.

His work spans the full stack of generative video and world model systems: from sparse attention optimizations and quantization to distillation, post-training, and real-time inference. He co-led the first interactive-latency 1080p text/image-to-audio-video generation pipeline, and his recent work includes training pipelines for autoregressive world models.

Will has interned at Anyscale and is currently interning at NVIDIA, where he helps lead and grow FastVideo's collaborations across industry partners and downstream adopters. He began his PhD working on operating systems and datacenter networking with FPGAs before transitioning into machine learning systems three years ago.

At LMSYS, our mission is to incubate innovative open-source projects that advance AI research and development, and to create more opportunities for the emerging talent driving them. We believe open infrastructure is the foundation for the next generation of AI, and that the people building it deserve dedicated support. Through the Fellowship Program, we hope to give talented PhD students the freedom to pursue ambitious, community-driven work and to grow the open ecosystem we all rely on.