Post-doc
Bayesian statistics [26]
Tool
PLUMED-NEST
Max Bonomi
Graduate Student
Till Kletti
Decision and Bayesian Computation
PhD Student
Robin Chalumeau
Bioimage Analysis
Robin Chalumeau started his PhD in september 2018, with the support of the INCEPTION program, under the joint supervision of Jean Christophe Olivo-Marin at the head of the Bioimage Analysis unit and Jost Enninga […]
Software
PLUMED
Max Bonomi
Permanent Researcher
Max Bonomi
Structural Bioinformatics
The objective of my research is to understand the function of complex biological systems and to unravel the basis of the molecular mechanisms by which such functions are achieved. Most biological systems – if not all […]
Post-doc
Lin Wang
Mathematical Modelling Of Infectious Diseases
Lin Wang joined as a postdoctoral researcher in the Mathematical Modelling of Infectious Diseases Unit at Institut Pasteur in September 2018. His research interests include infectious diseases (e.g. Dengue, influenza), mathematical and statistical epidemiology, […]
PhD Student
Corentin Guérinot
Decision and Bayesian Computation
Undergraduate Student
Thomas Dahmen
Chemoinformatics and proteochemometrics
Research Engineer
Pascal Campagne
Expertise group : SABER – Statistics applied to biology and experimental results
Initially trained in evolutionary and environmental sciences, I studied population genetics and micro-evolutionary processes in a number of postdoctoral research projects. I recently joined the C3BI-Hub at the Institut Pasteur, where I work on […]
Software
Integrative Modelling Platform
Riccardo Pellarin
Post-doc
Mathieu Moslonka-Lefebvre
Evolutionary Bioinformatics
The growing deluge of data available at the molecular scale can (and will) revolutionise evolutionary biology, but also the health sector. As a transient leave from the French administration, I joined Olivier Gascuel’s group […]
PhD Student
Virgile Andreani
InBio: Experimental and Computational Methods for Modeling Cellular Processes
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.
Permanent Researcher
Jakob Ruess
InBio: Experimental and Computational Methods for Modeling Cellular Processes
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 in 2014 (receiving the ETH […]
Permanent Researcher
Christian L. Vestergaard
Decision and Bayesian Computation
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 […]
Post-doc