Sijun Tan (谭嗣俊)

I am a third-year CS PhD student at UC Berkeley, advised by Raluca Ada Popa. I am affiliated to Berkeley’s Sky Computing Lab.
Previously, I graduated from University of Virginia with a Bachelor’s degree in Computer Science and Mathematics, where I was advised by David Wu and Yuan Tian. I also worked with Professors Haifeng Xu and Xiaohui Bei. I interned at Facebook AI Research (FAIR) and worked at Ant Group as a senior algorithm engineer.
My current research focuses on LLM post-training and Agentic AI. I am the project lead at Agentica, and we are on a mission to democratize reinforcement learning for training language models and agents.
We are looking for highly motivated students to work with! If you are interested in research opportunities, please send me an email.
news
Apr 10, 2025 | We released DeepCoder, a 14B model reaching O3 mini level on coding and math. |
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Feb 11, 2025 | We released DeepScaleR, a 1.5B model that surpasses o1-preview by scaling RL🔥. Check out our code. |
Oct 16, 2024 | We are excited to release JudgeBench: a challenging benchmark to evaluate LLM-based judges. Check out our leaderboard and code. |