Using real-world data and causal inference to understand the burden of non-communicable diseases and inform health policy — with a focus on low- and middle-income countries.
Education
- Master of Public Health, 2025University of Washington
- Doctor of Medicine, 2021Universidad Nacional Mayor de San Marcos
Interests
- Epidemiology of NCDs
- Causal inference methods
- Burden of disease modelling
- Simulation modelling
- Global health
Featured Publications
Bazo-Alvarez, J.C., Del Castillo, D., Piza, L., Bernabé-Ortiz, A., Carrillo-Larco, R.M., Smeeth, L., Gilman, R.H., Checkley, W. and Miranda, J.J. (2026) “Multimorbidity patterns, sociodemographic characteristics, and mortality: Data science insights from low-resource settings,” Am. J. Epidemiol., 194(4), pp. 901–911. Available at: https://doi.org/10.1093/aje/kwae466.
Del Castillo-Fernández, D., Brañez-Condorena, A., Villacorta-Landeo, P., Saavedra-Garcia, L., Bernabé-Ortiz, A. and Miranda, J. (2021) “Advances in the investigation of chronic non-communicable diseases in peru,” An Fac med, 81(4). Available at: https://doi.org/10.15381/anales.v81i4.18798.
Posts
Teaching & Talks
Courses
- Introduction to Epidemiology
- Universidad Científica del Sur · Undergraduate · Current · Instructor
- Introduction to Biology
- University of Washington · Undergraduate · 2024 · TA
- Biostatistics and Demography
- Universidad Nacional Mayor de San Marcos · Undergraduate · 2020 · TA
Seminars
- Operationalizing Variables: How to Convert Concepts into Measurable Data
- Universidad Nacional Mayor de San Marcos · Peru · 2026 · Slides
- How to identify a viable research question
- Universidad Nacional Mayor de San Marcos · Peru · 2026 · Slides
- Introduction to Stata for Biomedical Researchers
- National Institute of Health · Peru · 2022