Physicist and computer scientist by training, I develop quantitative population models of antibiotic resistance, which I calibrate using optimal experimental design. I then exploit them to engineer optimal treatment strategies.
I am a statistical physicist and biophysicist with a main interest in data-driven modeling and in developing methods for the analysis of complex dynamical systems. The focus of my research has been on time-varying […]
I am a research engineer with a background in applied Mathematics. I have been working at Institut Pasteur since 2017, as a member of the Statistics Group of the Hub of Bioinformatics and Biostatistics. I […]
I am interested in molecular mechanisms involved in membrane biology of human cells. Biological membranes are fascinating structures and their complex interplay with a steadily increasing number of proteins build the foundation of organellar […]
D. Bikard’s team is studying the genetic systems that are emerging as a result of the arms race between bacteria and bacteriophages, and how these systems can be exploited as new biotechnological tools. In […]
After a Master degree in Genetics at Magistère Européen de Génétique, Paris Diderot, I did a second Master in bioinformatics at University of Nantes where I focused my work on the study of mapping […]
Born and raised in the south of France, I moved to Paris to study at the Magistère Européen de Génétique (Université Paris VII, now Université Paris Cité) where I specialized in immuno-genetics and cell biology. […]
After a PhD in Biology in 2011 on population genetics and phylogeography on amazing little amphipods (Crangonyx, Crymostygius) at the University of Reykjavik (Iceland), I pursued my interest in Bioinformatics and Evolutionary Biology in […]
