I am a physician-scientist specializing in causal modeling within the realm of chronic disease epidemiology. In 2013, I received my M.D. from the University of Tokyo, and then in 2021, I earned my Ph.D. in Epidemiology from UCLA, following a period of practice as an endocrinologist. My long-term career goal is to reduce the global health burden imposed by chronic diseases, including but not limited to diabetes, hypertension, kidney disease, thyroid disorders, and cardiovascular disease. To this end, I am focusing on developing robust methodological skills in epidemiology and statistics, with a particular emphasis on causal inference and machine learning. My aim is to leverage these skills to construct a strong evidence base for future clinical management and policy interventions concerning chronic diseases.




Research lists



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

2023 Associate Professor, Kyoto University
2021 Assistant Professor, Kyoto University
2020 Graduate student researcher, UCLA
2020-present Epidemiology advisor, Ito Hospital, Tokyo, Japan
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

2022 Guest lecture at UCLA, STATISTICAL MODELING IN EPIDEMIOLOGY (EPI 212) (Lecture title: Generalization and Application of Front-door Formula)
2022 Special Seminar at Harvard T.H. Chan School of Public Health (Lecture title: Generalized Form of Front-door Formula)
2021-present Guest lecture at Yale School of Public Health, Causal Inference Methods in Public Health Research (Lecture title: Introduction to Causal Mediation Analysis)
2021-present Several guest lectures at Kyoto University, Methods in social epidemiology (Lecture title: Introduction to Causal Inference, etc.)
2021 Special Seminar at the University of Tokyo, Graduate School of Medicine, Department of Nephrology and Endocrinology (Lecture title: Causal Modeling and Machine Learning in Clinical Epidemiology)
2019 Teaching Assistant for Epidemiology M204/ Statistics M243 (LOGIC, CAUSATION AND PROBABILITY), UCLA

Contact & Link

Email: inoue.kosuke.2j [at] kyoto-u.ac.jp

Lab website: https://socepi.med.kyoto-u.ac.jp/en/