Scholar
Shinpei Nakamura-Sakai
Google Scholar ID: jzZ_XwsAAAAJ
Applied Scientist, Amazon
Citations & Impact
Citations
103
H-index
5
i10-index
3
Publications
16
Co-authors
7
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Published multiple papers in areas such as medicine, public health, and sports analytics; received several awards, including the best poster award at the New England Symposium on Statistics in Sports (NESSIS) in 2023 and the UConn Sports Analytics Symposium (UCSAS) in 2022; holds one patent.
Research Experience
- Working as an Applied Scientist at Amazon, involved in various research projects, including a randomized trial of the GutGPT tool and assessing the persuasion risks of large language model chatbots to democratic societies.
Education
- Ph.D. in Statistics and Data Science from Yale University, advised by Jas Sekhon and Laura Forastiere.
Background
- An Applied Scientist at Amazon, where I develop and apply causal inference methods to solve real-world problems and support evidence-based decision making. My research interests include causal inference, synthetic data generation, and the applications of machine learning in domains such as finance, medicine, social sciences, and sports analytics.
