Add blog post and preview image for Will Lin fellowship

2026-06-02-lmsys-phd-fellowship.md

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+---
+
+title: Announcing the Recipient of the 2026 LMSYS PhD Fellowship
+author: LMSYS Board
+date: 2026-06-02
+previewImg: /images/blog/fellowship_apply/fellowship_program.png
+----------------------------------------------------------------
+
+<p align="center">
+  <img src="/images/blog/fellowship_apply/will_lin_fellowship.jpg" width="400">
+  <br>
+  <em>Will Lin, recipient of the 2026 LMSYS PhD Fellowship.</em>
+</p>
+
+In late 2025, we [announced the launch of the LMSYS Fellowship Program](/blog/fellowship_apply/), an initiative to recognize and support PhD students whose research, engineering, and open-source contributions are helping shape the future of AI infrastructure and machine learning systems.
+
+The fellowship was created to support the next generation of open-source AI leaders and to reflect LMSYS's broader commitment to openness, collaboration, and community-driven innovation. Over the past three years, LMSYS has grown into a leading open-source AI systems community, bringing together researchers, students, and engineers to build and evaluate the infrastructure behind modern foundation models.
+
+We are pleased to announce that **Will Lin**, a 6th-year PhD student in the Hao AI Lab at UC San Diego, advised by Hao Zhang, has been selected as the recipient of the LMSYS Fellowship.
+
+Will leads FastVideo, an open-source framework for accelerated diffusion generation and post-training that has grown to more than 3,700 GitHub stars and has been integrated as a backend in NVIDIA Dynamo. Its modular pipeline architecture has influenced multimodal generation systems, including SGLang.
+
+His work spans the full stack of generative video and world model systems, from sparse attention optimization and quantization to distillation, post-training, and real-time inference. He co-led the development of 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 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.
+
+We congratulate Will on this recognition and look forward to his future contributions to the open-source AI community.
+
+The LMSYS Fellowship Program is made possible through the generous support of Ying and Lianmin. We are grateful for their commitment to supporting the next generation of open-source AI infrastructure researchers and builders.

2026-06-02-will-lin-fellowship.md

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+---
+title: Announcing the Recipient of the 2026 LMSYS PhD Fellowship
+author: LMSYS Board
+date: 2026-06-02
+previewImg: /images/blog/fellowship_apply/fellowship_program.png
+---
+
+
+<p align="center">
+  <img src="/images/blog/fellowship_apply/will_lin_fellowship.jpg" width="400">
+  <br>
+  <em>Will Lin, recipient of the 2026 LMSYS PhD Fellowship.</em>
+</p>
+
+Earlier this year, we [announced the launch of the LMSYS Fellowship Program](/blog/fellowship_apply/), an initiative to recognize and support PhD students whose research, engineering, and open-source contributions are helping shape the future of AI infrastructure and machine learning systems.
+
+The fellowship was created to support the next generation of open-source AI leaders and to reflect LMSYS's broader commitment to openness, collaboration, and community-driven innovation. Over the past three years, LMSYS has grown into a leading open-source AI systems community, bringing together researchers, students, and engineers to build and evaluate the infrastructure behind modern foundation models.
+
+After reviewing a highly competitive pool of candidates, we are pleased to announce that **Will Lin**, a PhD student in the Hao AI Lab at UC San Diego, has been selected as the recipient of the LMSYS Fellowship.
+
+Will represents the kind of researcher this fellowship was designed to support: technically strong, deeply engaged with open-source development, and committed to building systems that are useful to the broader AI community. His work has contributed to widely used open-source infrastructure for generative AI.
+
+We congratulate Will on this recognition and look forward to his future contributions to the open-source AI community.
+
+The LMSYS Fellowship Program is made possible through the generous support of Ying and Lianmin. We are grateful for their commitment to supporting the next generation of open-source AI infrastructure researchers and builders.