
Virgile Andreani
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.
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.
Originally trained as a mathematician (probability theory and statistics), I moved on to do my PhD in a control engineering institute with John Lygeros at ETH Zurich. I graduated receiving the ETH Medal and […]
I’m a computational biologist passionate about understanding how biological systems function at the molecular level. Making sense of our necessarily fragmented observations of the extremely complex systems that cells are is one of the […]
IINCEPTION Goal The Inception aims to develop a core structure to mobilize data resources, numerical sciences, and fundamental experimental biology in various health issues (Official website here: https://www.inception-program.fr/en). The inception program uses Integrative Biology, […]
I joined the Bioinformatics and Biostatistics Hub at Institut Pasteur in 2016 and was detached to the Platform Biomics (http://biomics.pasteur.fr). Since Oct 2018, I am leading the SALSA group (a.k.a. dry-lab group) activities, which […]
I joined the Hub Team @ Pasteur C3BI as a Senior Bioinformatician in November of 2015, where I am mainly focused on functional and pathway analysis at the genomic level. The goal of grouping […]
I received a Ph.D. in Biostatistics and Bioinformatics applied to Cancer Research in 2011 from the University Paris Sud XI, I was working at the Curie institute under the supervision of Emmanuel Barillot and […]
My undergraduate education in both biology and applied physics naturally aroused my scientific interest in biological questions at the interface of physics and biology. For example, understanding the cellular and molecular mechanisms driving tissue […]
I am the Principal Investigator of the Decision and Bayesian Computation lab and a theoretical physicist by training. My research is focused on the algorithms and computation selected by evolution to perform biological decision-making.I address […]