Lieu : Amphi de l'IAB, Institut pour l’Avancée des Biosciences, Site Santé, Allée des Alpes, 38700 La Tronche

  Jury :

Résumé :

The goal of this HDR thesis is to summarize my research activity over the past five years and to present my future scientific prospects. My focus will be on studying tumor heterogeneity through computational and interdisciplinary methods. Cancer is a heterogeneous disease, with each tumor evolving as an autonomous multicellular system. The tumor ecosystem consists of cells from dif-ferent origins and identities that dynamically interact with each other. It is difficult to observe and quantify the heterogeneity in tumor composition, a key factor contributing to cancer progression. Our current inability to estimate heterogeneity in a given sample has hindered our understanding of its function during oncogenic processes. A review of the computational approaches used to es-timate tumor heterogeneity and to study its functional implications in cancer progression will be presented in the first three chapters of the thesis. Concepts exposed will relate to my own work in the field of oncology, as a computational biologist. I will also explore the broad field of col- laborative work and problem of algorithms evaluation, featuring some of my contributions to this area. I will conclude by discussing my scientific perspectives and my personal journey as a young independent researcher, including challenges associated with the position.