I am a physician-scientist specializing causal modeling in chronic disease epidemiology. I received an M.D. from the University of Tokyo in 2013, and received Ph.D. in Epidemiology at UCLA in 2021 after working as an endocrinologist.

My long-term career goal is to reduce the global health burden of chronic diseases (e.g., diabetes, hypertension, kidney disease, thyroid disorders, and cardiovascular disease, etc). I aim to develop strong methodologic skills in epidemiology/statistics (particularly, causal inference and machine learning), and leverage them to build evidence for future clinical management and policy interventions related to chronic diseases.



2017-2021 PhD, Department of Epidemiology, Fielding School of Public Health,  University of California Los Angeles

2007-2013 MD, Department of Medicine, University of Tokyo

Work experience

2021 Assistant Professor, Kyoto University

2020 Graduate student researcher, UCLA

2020- Epidemiology advisor, Ito Hospital, Tokyo, Japan

2019 Teaching Assistant for Epidemiology M204/ Statistics M243 (LOGIC, CAUSATION AND PROBABILITY), UCLA

2019 Harvard Global Health Institute (Research internship)

2018 Graduate student researcher, UCLA

2015-2017 Senior resident in Endocrinology and Metabolism, Yokohama Rosai Hospital, Kanagawa, Japan

2013-2015 Junior resident in Internal Medicine, National Center for Global Health and Medicine, Tokyo, Japan

Teaching experience

2021                Guest lecture in Yale School of Public Health, Causal Inference Methods in Public Health Research (Lecture title: Introduction to Causal Mediation Analysis)

2021                Guest lecture in Kyoto University, Methods in social epidemiology (Lecture title: Introduction to Causal Inference)

2021                Guest lecture in Kyoto University, School of Medicine, B13 (Lecture title: Introduction to Causal Inference for Clinicians)

2021                Guest lecture in Kyoto University, Graduate School of Medicine, Educational Course for Graduate Students (Lecture title: Causal Inference in Clinical Epidemiology)

2021                Seminar in the University of Tokyo, Graduate School of Medicine, Division of Nephrology and Endocrinology, Research seminar (Lecture title: Causal Modeling and Machine Learning in Clinical Epidemiology)