Rodrigo Zepeda-tello is an applied mathematician and research officer with nine years of experience designing statistical models, surveys, and R packages to inform national health and labor policy. He has led modeling teams at the Mexican Institute of Social Security that guided COVID-19 responses, built alert systems for workplace outbreaks, and supported vaccine efficacy evaluation using cohort analysis. Comfortable across time-series, state-space, and machine learning methods, he’s developed tools for stochastic simulation and causal inference used in public health research. Rodrigo also brings a strong teaching background in mathematics and statistics and a literary side—he pairs rigorous quantitative work with interests in medieval literature and community sustainability projects. Based in New York, he combines hands-on coding and package development with practical policy impact across epidemiology and economics.
9 years of coding experience
7 years of employment as a software developer
Universidad Nacional Autónoma de México (UNAM)
Licenciado en Matemáticas Aplicadas, Applied Mathematics, Licenciado en Matemáticas Aplicadas, Applied Mathematics at Instituto Tecnológico Autónomo de México
Contributions:1 release, 303 pushes, 3 branches in 9 months
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