Summary
Allan Jerolon is a data manager and biostatistician with nine years of experience combining applied mathematics, causal inference and machine learning for health research. He holds a doctorate in Applied Mathematics and has developed R packages and quasi-Bayesian and spectral clustering algorithms used in mediation and survival analysis, bridging theoretical research and practical epidemiological applications. As a former ATER and doctoral researcher in Paris, he taught advanced algorithms and R programming while publishing and collaborating with clinicians and epidemiologists. Now based in Guadeloupe, he leads neurodegenerative disease registry work at the CHU and runs a data science consultancy, maintaining a public portfolio and blog that showcase reproducible R tooling and domain-focused projects.
9 years of coding experience
Licence Mathématiques et informatique, Licence Mathématiques et informatique at Université des Antilles
Doctorat Mathématiques appliquées, Doctorat Mathématiques appliquées 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