I yunaam a research scientist at the CIT Program (Cartes d’Identité des Tumeurs) at the French League Against Cancer.

Logotype_CIT_300dpi_CMJNRésultat de recherche d'images pour "ligue contre le cancer"

Keywords: Genomics, biostatistics, bioinformatics

Topics: multi-omics integration, network inference, signal deconvolution.

Health data challenge 2019


Thanks again to all the participants for the great week and the intensive collaborative work! Hope to see everyone for a next edition of the challenge #hadaca2019 @programmeCIT @laliguecancer @TIMC_Lab @grenobledata @EIThealth_FR


Best Poster Award #ESMO19 Barcelona


Honored to receive this prize!  I presented our recent results on Cancer heterogeneity quantification using a deconvolution approach and its clinical impacts.  Thank you #ESMO19 and thank you to all my collaborators!


New health data challenge: registration is open!


We are organizing together with the BMC TIMC-IMAG team – CNRS, the 2nd edition of an international health data challenge on statistical methods to quantify the cell populations in a tumor using omics data, one of the main current challenges in cancer genomics! Join us for this very exciting event ! More info https://tinyurl.com/hadaca2019

Affiche Health Data Challenge 2nd Edition Sept12

First International Consensus Meeting on Pancreatic Cancer


Honored to be part of this international consensus on thank you so much to Paco Real and to people !



Data Challenge, CNRS, Aussois, December 2018


We won the first prize ! Thank you to the organizers for this amazing week, such great interactions and a wonderful location !

Best investigator Award #iMig2018 May 5, 2018


During this International Conference, I presented our collaborative work with Didier Jean’s team (Functional genomics of solid tumor, Inserm Unit U1162, Hôpital Saint-Louis, Paris) about MPM heterogeneity characterization using molecular gradients.