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Biography

Florian Massip is a researcher whose work lies at the intersection of bioinformatics, genomics, and high-resolution biological data analysis. His research focuses in particular on the development of computational tools for the spatial analysis of RNA transcripts, with applications in cell segmentation and the characterization of cell types *in situ*. His contributions include innovative methods such as ComSeg, designed to improve the accuracy of RNA mapping in complex tissues, independent of biases related to cell shape. At the same time, he explores the molecular mechanisms underlying diseases such as lung cancer, integrating transcriptomic and genetic data to elucidate the links between environmental exposure (smoking) and persistent risk. His recent work also addresses bacterial evolution, proposing statistical models to distinguish horizontal gene transfers from vertical processes, as well as the study of replication origins in vertebrates and their evolutionary dynamics.

Publication(s)

Teaching

Elective Course Period (October and January)

Course Director

PhD supervision

  • 2025 Machine learning in bioinformatics: development of methods for transcriptomic data analysis AYADI Youmna
  • 2023 Analysis of the statistical properties of bacterial genomes to discern factors promoting gene exchange and migration events ETHEIMER Paul
  • 2022 Identification of biomarkers from transcriptomic data using the knockoff method: application to oncology cohorts CARTIER Julie