Zhexiao Lin 林哲霄
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Hi, I am a third year PhD student in the Department of Statistics at University of California, Berkeley. I am very fortunate to be advised by Professors Peng Ding, Peter Bickel and Fang Han. I am also very fortunate to be advised by Professors Wei Sun, Matias Cattaneo on some projects. Previously, I received my master's degree from University of Washington in 2022, advised by Professor Fang Han, and my bachelor's degree from Zhejiang University in 2020. I was 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
[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 - present
M.S. in Statistics, University of Washington, 2020 - 2022
B.S. in Mathematics and Applied Mathematics, Zhejiang University, 2016 - 2020
Awards
Fellowships
The Erich Lehmann Fund in Statistics, 2023
2023 Jane Street Graduate Research Fellowship Finalist, 2023
Berkeley Fellowship, 2022
Yongping Fellowship, 2019
Travel Awards
SFASA JSM Student Travel Award, 2024
Conference Travel Grants Award by University of California, Berkeley, 2023
Graduate School Conference Presentation Award by University of Washington, 2022
Conference Travel Awards
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
Statistics in the Big Data Era Workshop Travel Award, 2022
Professional 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
Professional Service
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; Journal of Applied Statistics; Artificial Intelligence and Statistics (AISTATS); Causal Learning and Reasoning (CLeaR); KDD.
Contact
Email: zhexiaolin@berkeley.edu