Summary
Juan Sosa is an associate professor in Bogotá with eight years of academic and research experience specializing in Bayesian statistical modeling, MCMC methods, statistical network analysis, record linkage, and scalable high-dimensional inference. He earned a PhD in Statistics from UC Santa Cruz and has progressed through teaching and research roles at major Colombian universities and as a graduate researcher in the U.S., blending rigorous theory with practical, data-driven solutions. His work emphasizes scalable methods for complex, linked and networked data, making him adept at translating statistical learning into tools for real-world, high-dimensional problems. Colleagues value his ability to bridge advanced computational techniques with classroom mentorship and applied research in national and international settings.
8 years of coding experience
6 years of employment as a software developer
Master's degree, Statistics, Master's degree, Statistics at Universidad Nacional de Colombia
University of California Santa Cruz
Spanish, English