Ulysse Herbach is a research scientist (Chargé de Recherche) at Inria with eight years of experience at the intersection of applied mathematics and mathematical biology. His trajectory—from ENS Rennes through a Master’s and a PhD at Université Claude Bernard Lyon 1—focuses on stochastic modeling of gene expression and inference of regulatory networks, blending theory with biologically motivated applications. After a postdoctoral position and continued research at Inria since 2020, he develops quantitative tools that translate stochastic processes into testable biological predictions. Based in Nancy, France, he brings deep mathematical training to computational biology problems and an emphasis on rigorous inference methods that are both interpretable and applicable to real data.
8 years of coding experience
Master 2 (M2), Mathématiques appliquées, Master 2 (M2), Mathématiques appliquées at Université Claude Bernard Lyon 1
Mathematics, Mathematics at École normale supérieure de Rennes
Contributions:7 releases, 19 reviews, 38 PRs in 1 year 5 months
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