Statistician · Academic

Mauricio Castro

Associate Professor in the Department of Statistics at Pontificia Universidad Católica de Chile. My work develops flexible statistical models for complex longitudinal, survival, spatial, spatiotemporal, and censored data.

Bayesian statisticsLongitudinal & survival modelsSpatial statisticsHeavy-tailed distributions
Portrait of Mauricio Castro
2027–2031

ISI Council Member

Elected Council Member of the International Statistical Institute.

Since 2025

ANID Chile

Director of the Technical Monitoring Group for Grants in Mathematics.

Since 2019

CNA Chile

Member of the Mathematics and Statistics Comitte.

Research themes

Methodological research motivated by difficult real-world problems in medicine, public health, environmental science, and complex systems.

Bayesian statistics

Hierarchical modeling, robust inference, diagnostics, and computational methods.

Longitudinal & survival data

Censoring, missingness, joint models, nonlinear mixed-effects models, and heavy tails.

Spatial & spatiotemporal statistics

Graph-based priors, network uncertainty, disease mapping, and wastewater epidemiology.

Flexible distributions

Skew-elliptical models, identifiability, probabilistic reduction, and robust modeling.

Latest news

International Statistical Institute

Elected Council Member for the 2027–2031 term.

ANID Chile

Director of the Technical Monitoring Group for Grants in Mathematics since March 2025.

EcoSta 2026

Invited session “Advances and frontiers in statistical modeling and computing,” Ryukoku University, Kyoto, 8–10 August 2026.

Current profile

Mauricio Castro is an Associate Professor at Pontificia Universidad Católica de Chile. He received his Ph.D. in Statistics from the same university in 2008 and previously served on the faculty of Universidad de Concepción.

His current appointments include Adjunct Researcher at SENTINET: Surveillance, Epidemiology, and New Technologies for Infectious Emerging Threats, and Researcher at the Center for the Discovery of Structures in Complex Data MiDaS.

Read the online CV →