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.




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/