Summary
Mario Becerra is a Principal Statistician and applied mathematician with 11 years of experience building Bayesian models, experimental designs and data-driven visualizations across industry and academia. Currently on GSK’s Vaccines Research & Translational Statistics team in Leuven, he combines rigorous PhD-level research in optimal choice-experiment design with hands-on software skills—R packages and C++ backends—to deliver efficient, production-ready analytics. His work spans predictive modeling, causal and spatial analyses, and accelerating slow R code, informed by consulting and bank analytics roles where he translated complex results for non-technical stakeholders. An active researcher, he published and presented Bayesian D- and I-optimal design methods (with an open-source opdesmixr package) and has supervised multiple student projects. Outside work he balances long-distance cycling, guitar and multilingual curiosity, a mix that reflects both technical discipline and a collaborative, exploratory mindset.
11 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD Statistics, Doctor of Philosophy - PhD Statistics at KU Leuven
Master’s Degree Computer Science, Master’s Degree Computer Science at Instituto Tecnológico Autónomo de México
English, Spanish, Dutch, French