Laura Schaeffer holds a Masters in Public Health (Paris XI, Paris). She works the fields of epidemiology and clinical research in partnership with the International Network of Pasteur Institutes. Her responsibilities are to provide […]
Laura Tondeur holds a Masters in Public Health, specializing in Biostatistics (ISPED, Bordeaux). After beginning her career with an INSERM team based at the Institut Gustave Roussy (Villejuif), she joined the unit in December […]
Lénaig Le Fouler holds a Master in Public Health, specializing in Biostatistics (Paris-Sud). After beginning her career with another team in Institut Pasteur (Epidemiology of Emerging Diseases), she joined the unit in June 2014 […]
Laurence Watier MSc, PhD, HDR is a researcher at Inserm. Her areas of expertise include biostatistics with respect to Bayesian methods, mixed models and time series analysis; epidemiology; public health and the use of […]
I first studied cell biology and physiology at Paul Sabatier University, in Toulouse. After my license, I started my Master, mainly focused on immunology and physiology. After the first year, I wanted to specialize myself […]
After a PhD in biochemistry of the rapeseed proteins, during which I developed my first automated scripts for handling data processing and analysis, I join Danone research facility center for developing multivariate models for […]
Marc Lecuit, MD, PhD, is a microbiologist and an infectious diseases physician. He is the Director of the Biology of Infection Unit at the Institut Pasteur and Inserm (U1117) and of the Listeria National […]
From 2001 to 2005 I did my Ph.D in Montpellier (South of France) at the Institut of Functional Genomic. I worked on Drosophila melanogaster and I characterized a new G-Protein Coupled Receptor, only found […]
Bioproduction and biomaterials. Microfluidic chips and devices. Project Management. Expertise and advice in robotic and automation projects. (Droplets microarray)
Bernd Jagla is a chemist turned bioinformatician currently working on a R/Shiny application for single-cell RNAseq data analysis called SCHNAPPs, as well as unsupervised cytometry data analysis concentrating on the application of self-organizing maps […]
