What's new on BionomeeX

New Kids on the BionoBlock

BionomeeX hired Jason Puel et Christian Chaux, two young engineers to back up our “in house” projects (algorithm development). Welcome guys!

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BionomeeX hires

Job offer : SPECIALIST human machine interface. BionomeeX, a newly created start-up in Montpellier (DeepTech) label, is recruiting an employee at “bac + 5” [level…

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We provide customized & innovative analysis tools (Machine Learning, AI, statistical modeling…) to support your biological, medical and environmental R&D projects.

Our solutions may include at the same time crafted algorithms and/or adapted computational solutions in a single package following your needs.

BionomeeX projects (collaborations, “in house” developements) will be presented in the blog section of this website [here].

The Team

Clément Carré

CEO – Co Founder

Senior computer and data scientist, with a PhD in applied mathematics and a deep experience in Machine Learning.

Gabriel Krouk

CSO – Co Founder

Biologist, research director at CNRS. Gabriel was trained at NYU to apply machine learning for the deciphering of Gene Regulatory Networks in plants.

André Mas

Expert – Co Founder

Professor of Mathematics at IMAG, University of Montpellier and Polytech Montpellier.


Small selection of relevant papers published by BionomeeX founders.

Krouk G, Mirowski P, LeCun Y, Shasha DE, Coruzzi GM.

Predictive network modeling of the high-resolution dynamic plant transcriptome in response to nitrate.

Genome Biology. 2010

PMID: 21182762

Ristova D, Carré C, Pervent M, Medici A, Kim GJ, Scalia D, Ruffel S, Birnbaum
KD, Lacombe B, Busch W, Coruzzi GM, Krouk G.

Combinatorial interaction network of transcriptomic and phenotypic responses to nitrogen and hormones in the Arabidopsis thaliana root.

Science Signaling. 2016

PMID: 27811143

Krouk G, Carré C, Fizames C, Gojon A, Ruffel S, Lacombe B.

GeneCloud Reveals Semantic Enrichment in Lists of Gene Descriptions.

Molecular Plant (Cell Press). 2015

PMID: 25707756

Hilgert N., Mas A., Verzelen N.

Minimax adaptive tests for the Functional Linear model.

Annals of Statistics. 2013.