I hold a permanent PI position at Inria, the French National Institute for Research in Digital Science and Technology. I’m based at the Inria Center at Rennes University, where I’m part of the GenScale project team. I’m also associated with the Irisa Research Institute of Computer Science and Random Systems. Prior to joining Inria in 2022, I was a postdoctoral fellow and a research associate in biomedical informatics and epidemiology at Harvard Medical School and the Harvard T.H. Chan School of Public Health. I received my Ph.D. in computer science from the University of Paris-Est in 2016 and a master’s degree in mathematical computer science from the Czech Technical University in Prague in 2013.

Our research focuses on the intersection of computer science and biology, with applications in epidemiology and medicine. We develop new bioinformatics methods to analyze big genomic datasets, with the ultimate goals of enabling the rapid diagnosis of antibiotic resistance, monitoring of the spread of pathogens worldwide, and enabling instant searches across all publicly deposited DNA sequence data. Our research questions range from the theoretical aspects of computer science to the practical end-to-end protocols used in laboratories. In this context, we are particularly excited about the potential of emerging rapid and portable genomic technologies, such as nanopore sequencing or CRISPR tests.

Our work is made possible thanks to funding from Inria, the French National Research Agency (ANR), the University of Rennes, Campus France, and Rennes Métropole.

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