Bio
Diabetes, hypertension, obesity, and cardiovascular diseases as well as cardiometabolic risk factors. Global health, epidemiology, and population health. Analytics: data pooling, secondary analyses, national health surveys, population-based epidemiological studies, artificial intelligence (machine learning, deep learning), systematic reviews and meta-analysis. My academic work has primarily concentrated on Latin American countries.
Awards and Honours
- 2023 Early-Stage Investigator Lecture (ESIL), Office of Disease Prevention (ODP), National Institutes of Health (NIH), US
- 2022 Highest Scientific Production – Scopus & CONCYTEC, Lima, Peru
Areas of Interest
- Diabetes
- Disease Surveillance
- Cardiovascular Diseases
- Cardiometabolic Diseases
- Epidemiology
- Health Disparities
- Latino Health
- Non-communicable Diseases
- Machine Learning
- Population Sciences
- Artificial Intelligence
Education
- PhD, Imperial College London, London, UK
- MD, Universidad Peruana Cayetano Heredia, Lima, Peru
Affiliations
Emory Global Diabetes Research Center (https://diabetes.emory.edu/)
Emory University AI.Humanity (https://aihumanity.emory.edu/index.html)
NCD Risk Factor Collaboration (NCD-RisC) (https://www.ncdrisc.org/)