Nicolas Vergne

Nicolas Vergne is a University Lecturer at the University of Rouen, where he has been actively teaching mathematics, statistics, and bioinformatics courses since at least 2010. His academic affiliation centers around the Laboratoire de Mathématiques Raphaël Salem (LMRS) at the University of Rouen, where his office is located (M.2.10, 2nd floor).

His educational background includes:

• Doctorate in Applied Mathematics (2003-2008) from University of Evry-Val-d'Essonne
• DEA AMIB (Application of Mathematics and Computer Science to Biology) (2002-2003)
• Dual Masters in Mathematics and Mathematical Engineering (2001-2002)
• Bachelor's degree in Mathematics (2000-2001)
• DEUG MIAS (Mathematics and Computer Science Applied to Science) (1998-2000)
• BAC S (Scientific, Specialty Mathematics) (1997-1998)

Vergne's research spans the intersection of probability theory, statistics, and biological applications. His primary focus involves developing and applying Markov chain models (including regulated, drifting, and semi-Markov variants) to analyze biological sequences and genomic data. He has made significant contributions to DNA barcoding methodology, Poisson approximation techniques for rare word detection in DNA sequences, and statistical approaches for RNA sequencing data analysis. His work bridges theoretical probability with practical bioinformatics applications, particularly in the areas of reliability analysis, survival modeling, and mixture models for high-throughput genomic data.

Analysis of his publication record reveals a consistent trajectory from theoretical probability foundations toward increasingly applied bioinformatics research. His earliest work focused on rigorous mathematical treatments of Markov chains and Poisson approximation theory. Over time, his research evolved to address concrete biological problems including DNA sequence analysis, DNA barcoding, microarray analysis, and RNA-Seq data processing. A notable trend is his development of specialized R packages (SMM, DRIMM'R, WebDRIMM) that translate theoretical models into practical tools for the bioinformatics community. His most recent publications demonstrate expertise across multiple domains including cancer genomics, marine microbiology (diatom research), and rheumatoid arthritis biomarker discovery.

Vergne has extensive teaching experience across multiple levels of the French university system, supervising both undergraduate and graduate students. His teaching portfolio includes probability, statistics, real analysis, biostatistics, and specialized bioinformatics courses. He has served as an apprenticeship supervisor for CNRS apprentices in bioinformatics and supervised multiple third-year interns. His laboratory affiliations include the LMRS at University of Rouen, the Bioinformatics Unit 900 of the Curie Institute, and the MIA unit of INRA in Jouy-en-Josas, reflecting his interdisciplinary approach spanning mathematics, statistics, and biology.