Summary
Carlos Espinosa is a genomics-focused data scientist with nine years of experience and five years specializing in building scalable pipelines to process large biological datasets. He blends algorithm development, high-dimensional visualization, and predictive modeling to turn complex genomic signals into actionable insights, with work spanning academia and industry from Universidad Aut贸noma de Yucat谩n and Caltech to San Diego State University and his current role at VinkOS. His MSc in Chemical and Biochemical Sciences and background in bioengineering inform a quantitative approach that pairs stochastic and theoretical modeling with practical pipeline engineering. Comfortable across research and production contexts, he has experience in molecular computation and stochastic chemical reaction modeling that gives him an edge when designing models for biological systems. Based in Mexico, he is driven by solving challenging data problems and translating scientific knowledge into reproducible, production-ready analyses.
9 years of coding experience
6 years of employment as a software developer
Master of Science - MS, Chemical and Biochemical Sciences, Master of Science - MS, Chemical and Biochemical Sciences at Universidad Autonoma de Yucatan
English, Spanish