Marc-Eric Perrin

Models of neuronal growth during embryogenesis as self-interacting dynamical trees

Team: Thomas Lecuit (IBDM) - Jean-François Rupprecht (CPT)

His background

October 2021 - present | CENTURI PhD student

2020 - 2021 | MSc in Mathematics applied to Biological and Medical
sciences, Sorbonne University

2016 - 2019 | General Engineering with a major in Data Science and
Computational Engineering, Mines Paristech

About his PhD project

New imaging techniques developed within CENTURI (see Thomas Lecuit's team page) allow to track the development of sensory neurons at unprecedented temporal and spatial resolution. Marc-Eric PhD aims at determining how the complexity of branched neuronal structures can be best understood through a minimal set of self-organized processes - each relying on simple mechanistic rules. As steps to address this long-term question, Marc-Eric is currently developing (1) an image analysis pipeline to segment and follow the development of individual neurons, and (2) minimal simple mathematical models to address the dynamics of sensory neurons at their earliest stage of development.