I am a bioinformatician with a background in molecular biology and genetics, specialized in computational biology. Since 2018, I have been a CNRS researcher, focusing on tumor heterogeneity through the integration of experimental and computational approaches. My research spans both the development of novel methodological frameworks and the study of cancer biology.

In 2025, I joined the LIG to establish a bioinformatics group within the APTIKAL team : Bioinfo@APTIKAL

I am also actively engaged in promoting collaborative science by organizing data challenges

Research projects

On going projects:

• SCALER
  Scientific Competitions for Advancing Learning and Enhancing Research in Life Sciences
  MIAI Cluster Chair (June 2025 – Sept. 2029)

• DECODE
  Computational decryption and mathematical modeling of regulatory networks governing plasmacytoid dendritic cell biology
  CNRS 80 PRIME (Oct. 2025 – Sept. 2028)

• CauseHet
  Causes and consequences of tumor heterogeneity
  ANR JCJC (Sept. 2023 – Aug. 2027)

• M4DI
  IRP3: Statistical inference of cellular heterogeneity using multi-omic prior biological knowledge
  PEPR Santé Numérique (Sept. 2023 – Aug. 2028)

Past projects:

• ACACIA 2021-2025 ITMO Cancer AVIESAN
• THEMA 2022-2015 IRS-IDEX UGA
• ARTICAH 2021 UGA MIAI
• COMETH 2019 EIT Health
• HADACA 2018 EIT Health
• LuCaH 2019 IRS-IDEX UGA
• Epi-Cancer 2018 PEPS - CNRS INS2I