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Curriculum vitae

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Education

  • – Present

    PhD candidate in Physics @ Max Planck Institute of Quantum Optics · TU Munich · Garching, Germany

    Advised by J. Ignacio Cirac. Thesis: Artificial Intelligence Meets Quantum Many-Body Physics: Learning, Representation, and Formal Verification. Submitted July 2026.

  • –

    MSc, Quantum Science & Technology (1.0/1.0, with distinction) @ TU Munich & LMU Munich · Munich, Germany

    Thesis on tensor networks for classical data, published in Phys. Rev. A as an Editors’ Suggestion.

  • –

    BSc, Mathematics & Physics @ Tsinghua University · Beijing, China

    Chi-Sun Yeh Prize (top 4 of ~100 physics majors); undergraduate research with Luming Duan.

  • –

    Visiting Student, Department of Physics @ Massachusetts Institute of Technology · Cambridge, MA, USA

    Physics and EECS coursework (GPA 5.0/5.0); QAOA research with Isaac Chuang.

Research and teaching

  • – Present

    Creator of TeXRA @ TeXRA.ai

    Multi-agent AI research assistant for theorists, integrating LLMs with Wolfram and Lean 4.

  • –

    Teaching Assistant, Quantum Information Theory @ TU Munich (Prof. Cirac) · Garching, Germany

    Co-wrote ~200 pages of lecture notes across 14 chapters.

Selected awards and funding

  • Anthropic AI for Science grant — $30,000, jointly with Benjamin Schiffer
  • Chi-Sun Yeh Prize, Tsinghua University
  • Qualcomm Scholarship
  • S.-T. Yau High School Physics Award, silver medal

Talks

  • Generative AI and Stochastic Thermodynamics. NeurIPS 2026 tutorial. December 2026 (upcoming).
  • Invited talk, University of Cologne. October 30, 2026 (upcoming).
  • Invited talk, University of Tokyo. October 14, 2026.
  • Invited workshop talk, Kavli Institute for Theoretical Physics, UC Santa Barbara. October 3, 2026.
  • Invited talk, Cornell University. September 23, 2026.
  • Invited talk, University of Innsbruck. August 31, 2026.
  • AI-Assisted Physics Research. Hands-on workshop, IMPRS / MCQST Summer School 2026↗, Sonthofen. June 2026.
  • Multi-Agent Scientific Discovery in Theoretical Quantum Physics. Empirische Inferenz talk, Max Planck Institute for Intelligent Systems, Tübingen. June 2026.
  • Invited seminar, University of Oxford. May 2026.
  • Multi-Agentic Scientific Discovery in Theoretical Quantum Physics. Seminar, Perimeter Institute for Theoretical Physics↗, Waterloo. May 2026.
  • Invited seminar, Stanford Institute for Theoretical Physics. April 2026.
  • Multi-Agentic Scientific Discovery in Theoretical Quantum Physics. Seminar, Institute of Physics, Chinese Academy of Sciences↗. March 2026.
  • Can Theoretical Physics Research Benefit from Language Agents? Oral, NeurIPS 2025 AI4Science Workshop↗, San Diego. December 2025.
  • Can Theoretical Physics Research Benefit from Language Agents? Invited talk, Institute of Theoretical Physics, Chinese Academy of Sciences↗. August 2025.
  • Quantum adversarial machine learning. Invited talk, 23rd Annual Conference of the Physical Society of Hong Kong. 2020.
  • Invited talk, Quantum Information Seminar, Yau Mathematical Sciences Center, Tsinghua University. 2020.
  • Theory seminars, Max Planck Institute of Quantum Optics. 2019 to 2021.
  • Three poster presentations, QIP 2019, Boulder. 2019.
  • Codes for simultaneous transmission of quantum and classical information. Oral, IEEE International Symposium on Information Theory (ISIT), Aachen. 2017.

Academic service

Peer review. Referee for Phys. Rev. X, Phys. Rev. Letters, PRX Quantum, PRX Intelligence, Phys. Rev. Research, Phys. Rev. A, B, and Applied, Nature Communications, Communications Physics, npj Quantum Information, Quantum, Quantum Information Processing, New Journal of Physics, and IEEE Transactions on Information Theory (about 70 manuscripts; over 100 reports including revision rounds). Conference referee for QIP, QCTiP, IEEE ISIT, and ITCS.

Organizing. Co-organized the AI for Quantum Science Hackathon↗ (Garching, 2026) with the MCQST PhD board, sponsored by OpenAI and Anthropic.