I work at an early-stage startup. Previously, I was a senior researcher at Microsoft Research. And before that, I was a Google research fellow at the Simons Institute (UC Berkeley).
I work on language models (especially the Phi series of language models) and diffusion models theory. Before, my research was mostly focused on sampling, optimization and proximal methods. Here is a paper at the intersection of these topics.
News
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I will talk about diffusion models at BIRS, Canada and IMS, Singapore. Thanks for the invitations!
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I am in Senegal for MLSS 2025. The energy is awesome!!!
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I am a workshop chair at NeurIPS 2024.
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Anna Korba and I have presented a tutorial on Sampling as Optimization at ICML 2022. Here are our slides. You can watch the video here.
Some papers
LLMs
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Adil Salim, “Accelerating mathematical research with language models: A case study of an interaction with GPT-5-Pro on a convex analysis problem”, October 2025.
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Marah Abdin et al., “Phi-4 Technical Report”, December 2024.
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Marah Abdin et al., “Phi-3 Technical Report”, April 2024.
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Suriya Gunasekar, Yi Zhang et al., “Textbooks Are All You Need”, June 2023.
Diffusion models
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Khashayar Gatmiry, Sitan Chen and Adil Salim, “High-accuracy and dimension-free sampling with diffusions”, January 2026.
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Sitan Chen, Sinho Chewi, Holden Lee, Yuanzhi Li, Jianfeng Lu and Adil Salim, “The probability flow ODE is provably fast”, NeurIPS 2023.
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Sitan Chen, Sinho Chewi, Jerry Li, Yuanzhi Li, Adil Salim and Anru R. Zhang, “Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions”, Notable top 5% paper @ ICLR 2023, Kigali, Rwanda.