Lei Shi
Scholar

Lei Shi

Google Scholar ID: cIMbdqkAAAAJ
Biostat PhD, UC Berkeley
Statistical learning theoryCausal inference
Citations & Impact
All-time
Citations
76
 
H-index
5
 
i10-index
2
 
Publications
20
 
Co-authors
17
list available
Resume (English only)
Academic Achievements
  • 2024 Google Cloud Platform Credits Award, Gemma 2 Academic Program; 2024 SCI Travel Scholarship, Society for Causal Inference; 2024 JSM Students Travel Award, San Francisco Bay Area Chapter of American Statistical Association; 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.
Research Experience
  • Visited Professor Lingzhou Xue's lab at PSU in the summer of 2019; Long-term internship at Genentech from June 2023 to May 2024; Internship at Adobe Research in May 2024.
Education
  • B.S. degree: School of Mathematical Sciences, Nankai University, Advisor: Professor Changliang Zou; Ph.D. degree: Biostatistics, UC Berkeley, Advisors: Professors Jingshen Wang and Peng Ding.
Background
  • Research Interests: Biostatistics; Specialization: Causal inference, machine learning; Bio: A Ph.D. student in Berkeley Biostatistics, advised by Professors Jingshen Wang and Peng Ding.
Miscellany
  • Served as a reviewer for several journals including Journal of Machine Learning Research, Annals of Applied Statistics, Journal of Causal Inference, Canadian Journal of Statistics, Journal of Computational and Graphical Statistics; Organizing committee member for the Workshop on Design + AI in March 2025; Session chair for 'Statistical inference focused reinforcement learning and adaptive experiments' at JSM 2023 in August 2023; Volunteer at ACIC 2022 in May 2022.