Scholar
Zhexiao Lin
Google Scholar ID: vyseYGYAAAAJ
University of California, Berkeley
Citations & Impact
Citations
237
H-index
7
i10-index
6
Publications
14
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- - Paper “On regression-adjusted imputation estimators of the average treatment effect” accepted by Journal of Econometrics
- - Received ASA Biopharmaceutical Section Student Paper Award for the paper “Supervised deep learning with gene annotation for cell classification”
- - Paper “On Rosenbaum's rank-based matching estimator” accepted by Biometrika
- - Recipient of 2024 Two Sigma PhD Fellowship
- - Paper “On the failure of the bootstrap for Chatterjee's rank correlation” accepted by Biometrika
- - Paper “Estimation based on nearest neighbor matching: from density ratio to average treatment effect” accepted by Econometrica
- - Received IMS Hannan Graduate Student Travel Award
- - Received ICSDS Student Travel Award
- - Selected as 2023 Meta Research PhD Fellowship Finalist
- - Selected as 2023 Jane Street Graduate Research Fellowship Finalist
Research Experience
- - Quantitative Researcher Intern, Two Sigma, New York, 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
Education
- - Ph.D. in Statistics, University of California, Berkeley, 2022 - present, Advisors: Peng Ding, Peter Bickel, Fang Han
- - M.S. in Statistics, University of Washington, 2020 - 2022, Advisor: Fang Han
- - B.S. in Mathematics and Applied Mathematics, Zhejiang University, 2016 - 2020, Undergraduate Thesis Advisor: Lixin Zhang, REU Project Advisors: Deanna Needell, Hanbaek Lyu
Background
- Research Interests: Causal inference, Rank- and graph-based methods, Nonparametric statistics, Econometrics, Deep learning. Currently a fourth-year PhD student in the Department of Statistics at the University of California, Berkeley.
Miscellany
- Reviewer: Econometrica; Biometrika; The Annals of Statistics; Journal of the American Statistical Association; Journal of Econometrics; Journal of Business & Economic Statistics; Quantitative Economics; IEEE Transactions on Information Theory; Journal of Causal Inference; Statistica Sinica; Computational Statistics and Data Analysis; Journal of Applied Statistics; NeurIPS
Co-authors