Academic Homepage of Tengyu Ma (Stanford University)

LinkTengyu MaResource

The official academic homepage of Tengyu Ma, Assistant Professor of Computer Science at Stanford University, detailing his machine learning research, current lab members, publications, and teaching.

Key points

  1. Core research focuses on machine learning, deep learning theory, reinforcement learning, foundation models, robustness, and optimization.
  2. Lists current PhD students and postdocs, including co-advising arrangements with Percy Liang and Tatsunori Hashimoto.
  3. Strong track record of alumni moving on to roles at major AI labs including OpenAI, Anthropic, and Meta TBD Labs.
  4. Categorised research papers covering reasoning models, LLM understanding, representation learning, and uncertainty quantification.
  5. Overview of Stanford courses taught, such as CS229 (Machine Learning) and CS229T (Statistical Learning Theory).

Why it matters

Tengyu Ma's work bridges theoretical foundations and modern practical machine learning. His academic page provides a map of influential publications and highlights the talent pipeline feeding top AI research institutions.

Analysis

The homepage provides an overview of Ma's academic portfolio and student mentorship. The career paths of his former students and postdocs—frequently joining labs like OpenAI and Anthropic—reflect the close relationship between academic research on ML theory and industrial frontier model development.

Mentioned links

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Summary generated by AI (Gemini 3.8 Flash, 27 September 2026). It may contain errors – the original source is authoritative.

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Locations

  • Mattersburg
    Johann Nepomuk Bergerstraße 7/2/14
    7210 Mattersburg, Austria
  • Vienna
    Ungargasse 64-66/3/404
    1030 Wien, Austria

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