I like theoretical and applied Bayesian statistics. My research focuses on developing methods and computationally approaches with an emphasis on the "Bayesian Alternative" in conjunction with applications to clustering, record linkage, financial time series, fMRI, clinical trials, environmental data, epidemiological data, population projections, migration, demographic indexes, survey sampling designs, among others.
ACADEMIC AND PROFESSIONAL EXPERIENCE
2013 - 2018
PhD in Statistics
University of Warwick
Postdoctoral Associate. Duke University, Department of Statistical Science (2019-Current).
Technical consultant to Vital Strategies, on the Bloomberg Philanthropies Data for Health Initiative. Support the National Statistics Office (DANE) and the Ministry of Health in Colombia with new statistical methodologies,
Research on statistical models for small area estimation (2018).
Bayesian Population Projections.
Workshops on Bayesian population projections (2018).
Demographic health survey (DHS) - research project on sexual violence (2019).
Probabilistic models for completeness of mortality and fertility rates in Colombia (2019).
Lecturer. Full Time. (2008-2011). University of Puerto Rico. Rio Piedras Campus. San Juan Puerto Rico. Business Administration Faculty. Department of Statistics.
Courses: Statistics Theory, Bayesian Statistics and Introduction to business Statistics.
Research - Grants PI:
Objective Bayes for Small Area Estimation.
Bayesian Dynamic Linear Models for Economic Time Series.
2011 - 2013
Msc in Statistics and Applied Mathematics
University of California, Santa Cruz
Msc in Mathematics
University of Puerto Rico
1999 - 2004
Bachelor in Statistics
Universidad Nacional de Colombia