
Magali Richard
I am a CNRS researcher in bioinformatics, with a background in molecular biology, genetics, and computational biology. My research focuses on tumor heterogeneity, method development, and cancer biology, and I also promote collaborative science by organizing data challenges.
- Grenoble, France
- CNRS
- Academia
- Google Scholar
- ORCID
- GitHub
Research projects
Current projects:

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 plasti...

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 se...

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 cellular...
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,...

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 quanti...

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 ...
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