Zhexiao Lin
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Zhexiao Lin 林哲霄

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Hi, I am an incoming quantitative researcher at Two Sigma Investments. I received my Ph.D. in Statistics from University of California, Berkeley in 2026. I was very fortunate to be advised by Professors Peng Ding, Peter Bickel and Fang Han. I was also very fortunate to be advised by Professors Wei Sun, Matias Cattaneo on some projects. Previously, I received my M.S. in Statistics from University of Washington in 2022, advised by Professor Fang Han, and my B.S. in Mathematics from Zhejiang University in 2020, advised by Professor Lixin Zhang on my undergraduate thesis and Professors Deanna Needell, Hanbaek Lyu on my REU project.

If you are interested in collaborating with me, feel free to contact me through email!

Research Interests

  • Causal inference

  • Rank- and graph-based methods

  • Nonparametric statistics

  • Econometrics

  • Deep learning

News

  • [2026/05] Paper “Supervised deep learning with gene functional annotation for cell classification” is now accepted by PLOS Computational Biology!

  • [2026/03] I received my Ph.D. in Statistics!

  • [2026/02] Paper “Introducing the b-value: combining unbiased and biased estimators from a sensitivity analysis perspective” is available on ArXiv!

  • [2025/10] Paper “Unifying regression-based and design-based causal inference in time-series experiments” is available on ArXiv!

  • [2025/10] Received ICSDS Student Travel Award!

  • [2025/08] Paper “On regression-adjusted imputation estimators of the average treatment effect” is now accepted by Journal of Econometrics!

  • [2025/06] Received ASA Biopharmaceutical Section Student Paper Award for the paper “Supervised deep learning with gene annotation for cell classification”!

  • [2025/04] I will join Two Sigma as a quantitative researcher intern this summer!

  • [2024/10] Paper “On Rosenbaum's rank-based matching estimator” is now accepted by Biometrika!

  • [2024/05] Received 2024 Two Sigma PhD Fellowship!

  • [2024/01] Paper “On the failure of the bootstrap for Chatterjee's rank correlation” is now accepted by Biometrika!

  • [2023/09] Paper “Estimation based on nearest neighbor matching: from density ratio to average treatment effect” is now accepted by Econometrica!

  • [2023/04] Received IMS Hannan Graduate Student Travel Award!

  • [2023/04] Selected as 2023 Meta Research PhD Fellowship Finalist!

  • [2023/03] Selected as 2023 Jane Street Graduate Research Fellowship Finalist!

Education

  • Ph.D. in Statistics, University of California, Berkeley, 2022 - 2026

  • M.S. in Statistics, University of Washington, 2020 - 2022

  • B.S. in Mathematics and Applied Mathematics, Zhejiang University, 2016 - 2020

Awards

Fellowships

Paper Awards

Travel Awards

  • The 11th Workshop on Biostatistics and Bioinformatics Travel Award by NSF, 2026

  • The 10th Workshop on Biostatistics and Bioinformatics Travel Award by NSF, 2025

  • The Past, Present and Future of Statistics in the Era of AI Travel Award by NSF, 2025

  • Future BAProf Workshop Travel Grant by Tippie College of Business, 2024

  • OCE Conference III Travel Grant by the Kenneth C. Griffin Applied Economic Incubator, 2024

  • ICSA 2023 China Conference Travel Grant by NSF, 2023

  • Conference Travel Grants Award by University of California, Berkeley, 2023&2025

  • Statistics in the Big Data Era Workshop Travel Award, 2022

  • Graduate School Conference Presentation Award by University of Washington, 2022

Professional Experience

  • Quantitative Researcher, Two Sigma, New York City, NY, June. 2026 – Present

  • Quantitative Researcher Intern, Two Sigma, New York City, NY, June. 2025 – Aug. 2025

  • Research Scientist Intern, Munich Re, Remote, Feb. 2025 – May. 2025

  • Research Scientist Intern, Etsy, Brooklyn, NY, May. 2024 – Aug. 2024

  • Research Associate, Fred Hutchinson Cancer Research Center, Seattle, WA, Jan. 2022 – June. 2022

  • Research Intern, Alibaba DAMO Academy, Decision Intelligence Lab, Hangzhou, China, Oct. 2020 - Feb. 2021

Professional Service

Reviewer

  • Econometrica; Biometrika; Annals of Statistics; Journal of the American Statistical Association; Journal of Econometrics; Journal of Business & Economic Statistics; Quantitative Economics; IEEE Transactions on Information Theory; Electronic Journal of Statistics; Statistica Sinica; Journal of Causal Inference; Canadian Journal of Statistics; Computational Statistics and Data Analysis; Journal of Applied Statistics; Briefings in Bioinformatics; NeurIPS; ICML; AISTATS; SIGKDD; AAAI; CLeaR.

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