About Romain
Research engineer in Statistics at INSERM, dynamic, rigorous, versatile and animated by a very strong intellectual curiosity !
My areas of research to date have been at the crossroads of various scientific topics that use a variety of data, such as Fluid Mechanics, Statistic, Sedimentology, Pharmacometrics, and also Software development.
I usually collaborate with interdisciplinary teams and I know how to use my skills and versatility to find and highlight common motives between the points of view of people working in different scientific fields.
Through this match between personal and collaborative research, I have developed new mathematical, algorithmic and numerical methodologies and implemented them as operational tools with Python or R.
I look forward to future collaborations !
French
Native or bilingual
English
Fluent
Remote only
Primarily works remotely
Experience
- INSERMIngénieur de recherche - Expert en information statistiqueMEDICALJanuary 2020 - Today (6 years and 5 months)Paris, France
- Creation and development of the R package "PFIM" (Population Fisher Information Matrix) for the evaluation and optimization of designs in nonlinear mixed-effects models.
Package link: https://cran.r-project.org/web/packages/PFIM/index.html- Development of graphical user interfaces (GUIs).
- Development of mathematical methodologies for design optimization in pharmacology.
- Courses in R: From foundational training in R and the Tidyverse ecosystem for statistical analysis to advanced R training, covering functional programming, object-oriented programming, and an in-depth exploration of the Tidyverse ecosystem.
- Ecole des Ponts ENPC - LHSV ( Laboratoire d'Hydraulique Saint-Venant ) & EDF R&DPost-doctoratAugust 2017 - December 2018 (1 year and 4 months)FranceQuantification, propagation, and sensitivity analysis of uncertainties in a morphodynamic model to estimate the critical water height in the Gironde estuary.
- IMFT ( Institut de mécanique des fluides de Toulouse )Post-doctoratDecember 2015 - May 2017 (1 year and 5 months)Mathematical, algorithmic, and numerical methodology for conducting a sensitivity analysis of prediction models for the behavior of a pollutant source and the migration of the dissolved pollutant plume in an aquifer.
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Education
- Diploma Thesis in Fluid MechanicsInstitut PPRIME2011Bayesian inference for the reconstruction of complex flows. Application on NACA0012 profile.
- Master of Research in GeosciencesUniversity of Caen2008