Matthieu GILSON
matthieu.gilson [at] univ-amu.fr
ORCID 0000-0002-6726-7207
Trajectory
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1998-2001: École Polytechnique (Palaiseau, France).
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2001-2003: I started with a master by research (M.Sc.A.) at the École Polytechnique de Montréal (Canada) under the supervision of Jean-Jules Brault and Mohamad Sawan. I discovered neural networks from both biological and machine-learning sides.
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2004-2005: While applying for a PhD scholarship, I worked as a consulting engineer in a team of quantitative analysis in the Natexis bank in Paris.
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2005-2009: I did my PhD at the University of Melbourne (Australia) under the supervision of Tony Burkitt, David Grayden, Doreen Thomas and Konstantin Borovkov. I worked on a mathematical analysis network dynamics for spike-timing-dependent plasticity (STDP).
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2009-2012: I followed with a post-doc at Riken Brain Science Institute in Tokyo (Japan) in Tomoki Fukai's lab, where I moved toward functional implications of STDP.
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2013: I took a break to learn how to sail in the Atlantic, Pacific and Antarctic Oceans.
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2014-2020: I joined Gustavo Deco's lab (Barcelona, Spain) as a post-doc within the Human Brain Project, then got a Marie Sklodowska-Curie Action fellowship in 2016. My focus was on macroscopic network modeling to analyze neuroimaging data (especially fMRI), with a focus on estimation in the context of effective connectivity.
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2020-2021: I joined Moritz Helias' lab at INM-6 in Jülich Forschungszentrum (Germany). I pursued the development of the learning theory for microcircuits to explore neuronal representations and their processing in networks.
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2021-2022: I joined the group led by Olivier David within the DynaMap team at Institut de Neurosciences des Systèmes (INS) in Marseille (France) to work on models based on effective connectivity for stereotactic EEG data.
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2022-now: I got a tenured position ("Chaire of Junior Professor") at Aix-Marseille University (France), affiliated with Institut de Neurosciences de la Timone (INT). I pursue my work on microscopic and macroscopic modeling, also aiming to bridge those scales.
complete cv
Current and Past Funding
- NeuroMarseille ICR grant (2022)
- Laënnec mini-RHU and master internship grants (2022)
- MSE visiting fellowship (2020) at The University of Melbourne
- Marie Sklodowska-Curie Action fellowship (March 2016 - March 2018): NeuArc2Fun project
- PhD scholarship from the University of Melbourne (2005-2009)
Also involved in administrative part of Human Brain Project (2014-2016), work package led by Gustavo Deco
Scientific Skills
- fundamental mathematics and physics
- computer programming (python, c++, matlab)
- neuromodeling, dynamic systems, information theory, machine learning, network theory
- data analysis and interpretation (fMRI, MEG, EEG, SEEG, multiunit activity)
