Renzo Calderón Anyosa, MD, MSc, PhD is a Postdoctoral Senior Fellow at the QuEST Center, Washington University in St. Louis.

His research applies causal inference and machine learning to evaluate health system quality and public policy — spanning primary care performance, chronic disease, mental health, gender-based violence, and social disparities in care — with a focus on combining administrative, cohort, and digital data sources to generate decision-relevant evidence.

He holds a PhD in Epidemiology from McGill University and an MD and MSc in Biomedical Informatics from Universidad Peruana Cayetano Heredia.