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Tianze Jiang

PhD candidate at Princeton (ORFE), advised by Boris Hanin; research scientist intern at Meta AI FAIR; previously Citadel Securities
Princeton University · Princeton, NJ / San Francisco, CA · academic
IMO 2020 Silver Medal For Team USAQuantitative Research Intern At Citadel Securities (FICC And Systematic Equities), Summer 2024Ph.D. Candidate At Princeton ORFE Advised By Boris HaninResearch Scientist Intern At Meta AI (FAIR), 2026

Tianze Jiang is a Ph.D. candidate in Princeton University's Department of Operations Research and Financial Engineering (ORFE), advised by Prof. Boris Hanin and supported by the Francis Robbins Upton Fellowship. He received a B.S. from MIT in 2024 with a double major in Mathematics and Computer Science, and was a member of the USA team at the 61st International Mathematical Olympiad (IMO 2020). His research centers on the theory and empirics of deep learning, including scaling limits and scaling laws, and earlier work at the intersection of theoretical computer science and statistics. His personal site states he is a research scientist intern at Meta AI (FAIR) in San Francisco from June to December 2026.

Tianze Jiang is a Ph.D. candidate in Princeton University's Department of Operations Research and Financial Engineering (ORFE), advised by Prof. Boris Hanin and supported by the Francis Robbins Upton Fellowship. He earned a B.S. from MIT in 2024 with a double major in Mathematics and Computer Science (GPA 5.0/5.0) and is completing an M.A. at Princeton (2026). He represented the United States at the 61st International Mathematical Olympiad (2020), winning a silver medal, and was a USAMO 2020 winner (5th nationwide). His research applies mathematical physics, statistics and probability to deep learning, including scaling laws and training dynamics. In summer 2024 he was a Quantitative Research Intern at Citadel Securities (FICC and Systematic Equities), building market impact accounting models of high-frequency US equities trades, and in 2026 he is a research scientist intern at Meta AI (FAIR).

Details
LocationPrinceton, NJ / San Francisco, CA
Company siteprinceton.edu
UniversityPrinceton University
deep learning theoryscaling laws of deep networkstheoretical computer sciencehigh-dimensional statisticsinformation theoryprobabilityscaling limits/laws of deep networkstraining dynamicsaverage-case complexityauto-research agents
Notes
  • Quant employment verification: CONFIRMED. Tianze Jiang worked as a Quantitative Research Intern at Citadel Securities from June to August 2024 in Miami, FL, on FICC and Systematic Equities, building market impact accounting models of high-frequency US equities trades (his own CV, hosted on his personal site). Citadel Securities is a market maker / electronic trading firm, so the employer is unambiguously quantitative finance. Identity is supported: the CV sits on his verified personal site (petyrrrrr.github.io) and its name, MIT degree and Princeton PhD match the LinkedIn and ORFE pages.Aug 2024
  • Current position is a Ph.D. candidate in Princeton's ORFE department (2024-present), advised by Boris Hanin and funded by the Francis Robbins Upton Fellowship, per the department's own people page.2024
  • Summer 2026 research scientist internship at Meta AI (FAIR), June-December 2026, in AI alignment, theory and optimization; listed on his personal site and CV.Jun 2026
  • Research spans deep learning theory, scaling laws of deep networks, high-dimensional statistics and average-case complexity; publications at NeurIPS 2023, COLT 2023-2024, JMLR and ICML 2026.2026
  • Earned a B.S. from MIT in 2024, double majoring in Mathematics and Computer Science with a 5.0/5.0 GPA, per his CV.2024
  • Represented the United States at the 61st International Mathematical Olympiad (IMO 2020) and won a silver medal; the MAA's official team release names the US team.Sep 2020
  • The Citadel Securities role is the only quant-finance employment the primary sources establish; it is described as an internship, not a full-time role.
  • Won the 2020 USA Mathematical Olympiad (USAMO), placing 5th nationwide.2020
  • A 'Quantitative Researcher' role at TongDeng Fund (May-Aug 2021) appears only in the LinkedIn/index lead and is NOT listed on his own CV, so it is index-only and unconfirmed as an actual role or internship; treat as uncertain, not established employment.
  • Scored N1 (top 15 overall) on the 2021 William Lowell Putnam Mathematical Competition.2021
  • Public professional profiles cross-link: personal site petyrrrrr.github.io, X handle @tzj1ang (22 followers), Google Scholar (lQscqDAAAAAJ) and LinkedIn.

Competition record

United States of America · IMO

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