About me

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 involved in the network BiGre (Computational Biology in Grenoble)

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

Research projects

On going projects:

AIMPACT

AIMPACT

AI-driven molecular and spatial analysis of tumor cell plasticity

Coordinator: M. Richard  •   Funding: ANR TSIA

Partners: S. Achard (LJK), Y. Blum (IGDR), A. Crombach (INRIA Lyon) & A. Petersen (BYU)

Period: Jan. 2026 – Dec. 2029

Tumor cell plasticity is the ability of cancer cells to dynamically reprogram their transcriptional programs in response to environmental cues. It is a key driver of therapy resistance and tumor evolution across multiple cancer types. The complexity of tumor cell plast...

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BIGRE

BIGRE

Scientific animation for BiGre - Computational Biology in Grenoble

Coordinator: M. Richard  •   Funding: Persyval-lab

Partners: Nelle Varoquaux (TIMC), Clovis Galiez (LJK), Delphine Roppers (INRIA)

Period: 2026 – 2030

The BIGRE (Computational Biology in Grenoble) network brings together researchers from multiple laboratories to address key methodological challenges in life sciences data analysis. Over the past two years, BIGRE has established a vibrant scientific community through s...

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CauseHet

CauseHet

Causes and Consequences of Tumor Heterogeneity

Coordinator: M. Richard  •   Funding: ANR JCJC

Period: Sept. 2023 – March 2029

Cancers are heterogeneous diseases, each single tumor evolving as a multicellular autonomous system. Tumors are made up of cells with different identities and origins, that dynamically interact with each other to form the tumor ecosystem. Heterogeneity in tumor cellula...

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DECODE

Computational decription and mathematical modeling of regulatory networks governing plasmacytoid dendritic cell biology

Coordinator: M. Dalod (CIML)  •   Funding: CNRS 80 PRIME

Partners: Magali Richard (LIG)

Period: Oct. 2025 – Sept. 2028

This project aims to develop an innovative computational strategy to identify and model the molecular regulatory networks and cell interactions controlling the identity and physiological functions of cell types. To overcome existing biological and analytical challenges...

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M4DI

M4DI

IRP3: Statistical inference of cellular heterogeneity using multi-omic prior biological knowledge

Coordinator: A. Baudot (MMG)  •   Funding: PEPR Santé Numérique

Partners: David Causeur (IRMAR), Yuna Blum (IGDR), Magali Richard (LIG)

Period: Sept. 2023 – Aug. 2028

Cellular heterogeneity in biological samples is a key factor that determines disease progression, but also influences biomedical analysis of samples and patient classification. At the molecular level, the cellular composition of tissues is difficult to assess and quant...

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SCALER

SCALER

Scientific Competitions for Advancing Learning and Enhancing Research in life sciences

Coordinator: M. Richard  •   Funding: MIAI Cluster

Partners: Thibaut Capblancq (LECA), Florent Chuffart (IAB), Salomé Cojean (LaRaC), Antoine Frénoy (LIG), Nicolas Homberg (LIG)

Period: June 2025 – Sept. 2029

Scientific competitions, or "data challenges," have proven effective for machine learning development by providing clear objectives, benchmark datasets, and standardized evaluation methods. While successful in computer science, their application in life sciences faces ...

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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