Tomoki Okuno

Tomoki Okuno

PhD candidate in Biostatistics

University of California, Los Angeles

I am a PhD Biostatistics candidate and a graduate student researcher at UCLA. My current research focuses on extending the state-of-art semiparamertic methods such as double machine learning (DML) and prediction-powered inference (PPI) to new functionals for personalized medicine.

This picture was drawn by my wife, an illustrator (her instagram).

Interests
  • Double machine learning
  • Prediction-powered inference
  • Causal inference
  • High-dimensional statistics
  • Longevity
Education
  • PhD in Biostatistics, 2023−Present

    University of California, Los Angeles

  • MS in Biostatistics, 2023

    University of California, Los Angeles

  • MS in Informatics, 2013

    Kyoto University, Japan

  • BE in Informatics, 2011

    Kyoto University, Japan

Recent Publications

Assessing Patterns of Continuous Glucose Monitoring Use and Metrics of Glycemic Control in Type 1 Diabetes and Type 2 Diabetes Patients in the Veterans Health Care System: Integrating Continuous Glucose Monitoring Device Data with Electronic Health Records Data