Hi, I am Yulu Gan, a second-year CS PhD at MIT, studying AI and Science. Advised by Tomaso Poggio and Phillip Isola. My research draws inspiration from biological evolution to design algorithms and enable algorithm-hardware co-design, with a focus on understanding and improving LLMs and VLMs, such as neural thickets and evolution strategies at scale.
Updates
May 1
Invited talk at David Bau's group.
May 12
Invited talk at Cohere Labs.
May 12
Invited talk at MIT Performance Reading Group.
Recent 4 Papers * indicates equal contribution.
All publications →Evolution Strategies at Scale: LLM Fine-Tuning Beyond Reinforcement Learning
Self-Assembly of a Biologically Plausible Learning Circuit
On the Power of Decision Trees in Auto-Regressive Language Modeling
Selected Awards
McGovern Institute Student Fellow
Dr. Chiang Chen Fellowship
Frederick R. (1953) and Barbara Cronin Fellowship
AAAI Best Student Paper Award (project lead)
Second Place in RoboCup China Open (team lead)
First Place in China Mathematical Olympiad, Zhejiang Division
Blog
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To be updated.