Arnaud Serret-Larmande, MD

Arnaud Serret-Larmande received his MD from Université de Paris and obtained an MSc in biostatistics and epidemiology from Paris-Saclay University. Serret-Larmande's MD thesis addresses the use of propensity score for confounding adjustment in rare exposure settings. During his medical residency, he conducted several works at the intersection of medical informatics, epidemiology, and biostatistics, encompassing Electronic Health Records classification using Natural Language Processing or data-mining on large epidemiological cohorts. His research interests range from biostatistics theory discussing causation in observational studies to applied machine learning in biomedical research.

His current work focuses on epidemiological analyses leveraging lab-internally developed computational platforms and API to tackle clinical and genomic data cohorts.