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

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

Travel Grants

  • ENVR Travel Award by ASA, 2024

  • SFASA JSM Student Travel Award, 2024

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

  • OCE Summer School and OCE Conference III Travel Grant by University of Chicago, 2024

  • SRC Travel Award by SRCOS, 2024

  • IMS Hannan Graduate Student Travel Award, 2023

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

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

Professional Experience

  • PhD Summer Research 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

  • Biometrika; The Annals of Statistics; Journal of the American Statistical Association; Journal of Econometrics; 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).

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