Scientific interests: optimization, search heuristics, evolutionary algorithms, artificial intelligence, machine learning, algorithm design and engineering, automated planning, differential geometry, graph mining.
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 […]
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’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 […]
I am applying my algorithmic and mathematical skills to extend our knowledge of pathogen transmission and evolution. In my work I develop new phylogenetic methods, tools and mathematical models to answer such questions as: […]