Statistics & Optimization for Trustworthy AI

Our Research

We develop principled and empirically-impactful AI/ML methods

  • mathematical foundations for transformers, sequence modeling, and capabilities of language models
  • core optimization and statistical learning theory
  • language model reasoning and reinforcement learning
  • trustworthy language and time-series (foundation) models

🔥Fall 2025 courses🔥: EECS 498 Foundations of LLMs (syllabus), EECS 553 Machine Learning (syllabus)
July-Aug trips&talks: UC Riverside, ICML@Vancouver, JSM@Nashville, UW-IFDS@Seattle

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We are grateful for our research sponsors