Matthieu Bougueon PhD

Matthieu Bougueon is a computational biologist specializing in multi-scale mechanistic modeling of cancer and fibrosis. He holds a PhD in Bioinformatics from the University of Rennes and has pursued postdoctoral research at University College London, focusing on computational approaches to disease biology. His research combines rule-based modeling with multimodal datasets, including single-cell RNA sequencing and whole-genome sequencing, to investigate disease heterogeneity, particularly in B-cell leukemia and fibrosis.

His work includes developing mechanistic models to understand cellular plasticity and disease progression, with research contributing to the study of fibrosis and precision medicine. He has also explored computational models of B-cell differentiation and gene dependencies in B-cell precursor acute lymphoblastic leukemia.

As an experienced researcher, educator, and collaborator, Matthieu Bougueon is committed to translating complex computational models and biological data into clinically relevant insights. His work aims to improve patient stratification, support precision medicine, and identify novel therapeutic targets that can ultimately contribute to better patient outcomes.