Lei Shi

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Welcome to my homepage!

I am a Ph.D. student in Berkeley Biostatistics. I am very fortunate to be advised by Professor Jingshen Wang and Professor Peng Ding. I obtained my B.S degree in School of Mathematical Sciences, Nankai University where I was advised by Professor Changliang Zou. In the summer of 2019, I visited Professor Lingzhou Xue's lab at PSU.

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Recent News

  • 06.2023: Internship at Genentech;

  • 10.2022: Passed my Ph.D. Qualification Exam and formally become a Ph.D. candidate! Many thanks to my advisors Jingshen Wang and Peng Ding, as well as Professor Lexin Li and Professor Will Fithian who kindly agreed to serve on my Committee;

  • 08.2022: JSM 2022 in Washington DC;

  • 06.2022: Conference “Statistics in the Big Data Era” (Bickel's 80th birthday celebration);

  • 08.2021: Started my in person Berkeley journey (finally)! Tired but happy :)

Presentation

  • 08.2023: IMSI workshop “Permutation and Causal Inference”, with talk: Berry-Esseen bounds for design-based causal inference;

  • 08.2023: JSM 2023, with talk: Berry-Esseen bounds for design-based causal inference;

  • 07.2023: ICML 2023, with poster presentation: Statistical inference on multi-armed bandits with delay feedback;

  • 05.2023: ACIC 2023, with poster presentation: Berry-Esseen bounds for design-based causal inference;

  • 03.2023: ENAR 2023, with poster presentation: Low rank matrix estimation with change points;

  • 02.2023: Gates Reservoir Team Meeting with presentation on Acute HIV study;

  • 01.2023: January DARE Science Call with presentation on Acute HIV study;

  • 11.2022: CLIMB Retreat with poster presentation: Berry-Esseen bounds for design-based causal inference;

  • 10.2022: Workshop “Modern Statistical and Machine Learning Methods for Big Data” in University of Michigan, Ann Arbor, with poster presentation: Statistical inference on delayed multi-armed bandits;

Professional Service

Peer Review

  • I have served as reviewers for several journals: Journal of Machine Learning Research, Annals of Applied Statistics, Journal of Causal Inference, Canadian Journal of Statistics, Journal of Computational and Graphical Statistics

Conference

  • 08.2023: JSM 2023, session chair for “Statistical inference focused reinforcement learning and adaptive experiments”;

  • 05.2022: ACIC 2022, volunteer;

Awards

  • 2024 Winter Workshop on Causal Inference and its Applications, Travel Award

  • 2023 Outstanding Graduate Student Instructor Award

  • 2023 ENAR Distinguished Student Paper Award Winner

  • 2017 - 2019 National Scholarship, Ministry of Education, China