Summary
Allan Jerolon is a data manager and biostatistician based in Guadeloupe, combining hands-on data science with health research across institutions in France. With a PhD in Applied Mathematics and eight years of experience, he specializes in causal inference, machine learning, and coding in R and Python. Notably, he implemented a spectral clustering algorithm in the R package blockmediate and a quasi-Bayesian algorithm in the R package multimediate, with collaborations among epidemiologists, occupational health researchers, and psychiatrists. He currently leads data management and biostatistics at the Centre d'Investigation Clinique Antilles, CHU de la Guadeloupe, and is a data science specialist at DAVWA JEROLON EI. Outside work, he shares his research and insights on davwa.fr and the blog, reflecting a strong commitment to teaching, mentoring, and translating complex analytics into health outcomes.
8 years of coding experience
Licence, Mathematics and Computer Science, Licence, Mathematics and Computer Science at Université des Antilles
Doctorat, Applied Mathematics, Doctorat, Applied Mathematics at Université Paris Cité
Master 2 (M2), Modélisation et Statistiques pour la Biologie, Master 2 (M2), Modélisation et Statistiques pour la Biologie at Université Paris Descartes
CPGE, BCPST (Biologie Chimie Physique et Science de la terre), CPGE, BCPST (Biologie Chimie Physique et Science de la terre) at Lycée de Baimbridge
English, French, créole