Shinpei Nakamura-Sakai

Shinpei Nakamura-Sakai

Ph.D. Student in S&DS at Yale

Shinpei Nakamura-Sakai

I am a Ph.D. student in Statistics and Data Science at Yale University. My research interest lies on causal inferece, synthetic data generation, and machine learning application. In application, I enjoy applying theory to solve problems related to finance, medicine, social science, and sports. I am very fortunate to be advised by Professor Jas Sekhon and Professor Laura Forastiere.

Research

(*) indicates equal contribution

Syhthetic Data and Differential Privacy

  • Enhancing Collaborative Medical Outcomes through Private Synthetic Hypercube Augmentation: PriSHA
    Shinpei Nakamura-Sakai, Dennis Shung, Jasjeet Sekhon
    Conference on Health, Inference, and Learning, 2024, PMLR, (CHIL), To appear
    AAAI SSS Clinincal FMs, 2024, Traditional Track (Spotlight, top 10 submission)
    Paper
  • Supervised generative optimization approach for tabular data
    Fadi Hamad*, Shinpei Nakamura-Sakai*, Saheed Obitayo, Vamsi K. Potluru
    Proceedings of the ACM International Conference on AI in Finance (ICAIF), 2023, (Oral, top 20.5%)
    Paper
    • Winner of 2nd Place at JPMC Global Hackathon

Causal Inference

  • Estimating causal effects of interventions altering social connectivity patterns under network interference
    Shinpei Nakamura-Sakai, Laura Forastiere
    Poster, Award, Media, News,
    • Winner of the statistical significance award at Joint Statistical Meeting (JSM), 2023

Sports Analytics

  • Estimating the age conditioned average treatment effects curves: An application on assessing load-management strategies in the NBA
    Shinpei Nakamura-Sakai, Laura Forastiere, Brian Macdonald
    arXiv, Award1, Award2, Media, News
    • Winner of the best poster award at New England Symposium on Statistics in Sports (NESSIS), 2023
    • Winner of the best poster award at UConn Sports Analytics Symposium (UCSAS), 2022

Healthcare and Social Sciences

  • COVID-19 Vaccine Perceptions in the Initial Phases of US Vaccine Roll-out: An Observational Study on Reddit
    N Kumar, I Corpus, M Hans, N Harle, N Yang, C McDonald, S Nakamura-Sakai, …
    BMC Public Health, 2022
    Paper

  • News Events and Their Relationship With US Vape Sales: An Interrupted Time Series Analysis
    Kamila Janmohamed, Shinpei Nakamura-Sakai, Abdul-Nasah Soale, Laura Forastiere, Navin Kumar
    BMC Public Health, 2021
    Paper

  • Longitudinal Analysis of the Determinants of Life Expectancy and Healthy Life Expectancy: A Causal Approach
    Rohan Aanegola, Shinpei Nakamura-Sakai, Navin Kumar
    Healthcare Analytics, 2021
    Paper

Media Appearance

  • LeBron James Has Done Everything in the NBA. Except This.
    THE WALL STREET JOURNAL
    Article

Teaching

Yale

  • Teaching Fellow: Data Analysis (S&DS 361/661), Instructor: Brian Macdonald, Spring 2023
  • Teaching Fellow: Statistical Case Studies (S&DS 425), Instructor: Brian Macdonald, Fall 2022, Fall 2021
  • Teaching Fellow: Applied Machine Learning and Causal Inference (S&DS 317/517), Instructor: Jas Sekhon, Spring 2022

Universidad Nacional Autónoma de México (UNAM)

  • Adjunct Professor: Advanced Probability, Spring 2020
  • Teaching Assistant: Stochastic Processes, Spring 2017
  • Teaching Assistant: Risk Theory, Fall 2016
  • Workshop Instructor: Construction and Evaluation of Actuarial Models Exam C, Fall 2016

The University of Chicago

  • Workshop Instructor: Introduction to Deep Learning, Summer 2019

Employment