|
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.
More links:
|
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
|