Welcome!

Major research interests: Causal Inference, Machine learning, Cardiovascular epidemiology, Internal medicine, Endocrinology & metabolism, Health service research

I am a third-year Ph.D. student in Epidemiology at UCLA. I received an MD from the University of Tokyo in 2013, and have worked as an endocrinologist since 2015. My long-term career goal as a clinical-epidemiologist 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.

Education/Work

Education

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

Dissertation: “Effect of Diabetes on Cardiovascular disease and Death: Causal modeling with Machine Learning Approach

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

Work experience

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

2019 Harvard Global Health Institute (Summer research internship)

2018 Graduate student researcher

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

Contact

Email: koinoue [at] ucla.edu