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
- Methodology/Biasesimageupdate on 13/12/2022
Methodology/Biases
Inoue K, Ritz B, Arah OA. (2022). Causal Effect of Chronic Pain on Mortality through Opioid prescriptions: An Application of the Front-Door Formula. Epidemiology;33(4):572-580 Inoue K, Haseda ... - Machine Learningimageupdate on 13/12/2022
Machine Learning
Inoue K, Athey S, Tsugawa Y. (2023). Machine-learning-based high-benefit approach versus conventional high-risk approach in blood pressure management. International Journal of Epidemiology. In p... - Generalizing/Transporting the resultsimageupdate on 24/03/2022
Generalizing/Transporting the results
Inoue K, Hsu W, Arah OA, Prosper A, Aberle D, Bui A. (2021). Generalizability and transportability of the results from randomized controlled trials: An example using the National Lung Screening ... - Identifying heterogeneityimageupdate on 24/03/2022
Identifying heterogeneity
Inoue K, Seeman T, Horwich T, Budoff M, Watson KE (2022). Heterogeneity in the Association Between the Presence of Coronary Artery Calcium and Cardiovascular Events: A Machine Learning Approach ... - Identifying mechanismsimageupdate on 24/03/2022
Identifying mechanisms
<Causal Mediation Analysis> Inoue K, Goldwater D, Allison M, Seeman T, Watson K. (2020). Serum Aldosterone Concentration, Coronary Artery Calcium, and Mortality: The Multi-Ethnic Study of...
Education/Work
Education
| 2017-2021 | PhD, Department of Epidemiology, Fielding School of Public Health, University of California Los Angeles |
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| 2007-2013 | MD, Department of Medicine, University of Tokyo |
Work experience
| 2023 | Associate Professor, Kyoto University |
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| 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) |
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| 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/
