Summary
Juan Sosa is an associate professor of statistics at Universidad Nacional de Colombia, Sede Bogotá, whose research centers on Bayesian modeling, statistical learning, MCMC, and the statistical analysis of networks, with a focus on scalable methods for high-dimensional inference and record linkage. He earned his PhD in Statistics from the University of California, Santa Cruz, and has held faculty appointments across Colombian universities, including a lengthy tenure as Professor at Universidad Externado de Colombia before joining UN Colombia in 2024. His work blends methodological advances with data-driven applications in network analysis and population data, delivering scalable solutions for complex data integration challenges. He is active in teaching and mentoring, helping shape the next generation of statisticians in Bogotá. Based in Colombia's capital, his international training informs a collaborative approach to Latin American data science and applied statistics communities.
8 years of coding experience
6 years of employment as a software developer
University of California Santa Cruz
Spanish, English