Bio
I pursued a PhD in machine learning for health data supervised by Danilo Bzdok (McGill, Canada) and Danielle Basset (UPENN, USA). I received intensive training in machine learning and brain imaging working in collaboration with Gaël Varoquaux (INRIA, Paris, France) and Simon Eickhoff (Düsseldorf, Germany). Being supervised by academics from very different fields (medicine, computer science, and physics) really made clear that I have a deep interest for combination of rigorous methodology and innovating approach to knowledge extraction. Next, during postdocs at Chi-Chun Lee's NTHU (BIIC lab) in Taiwan and at INSERM (Comete lab) with Leslie Decker in France, I focused on leveraging statistical learning to predict transition to Alzheimer's disease using MRI. Following the reproducibility crisis, I recently joined INRIA (EMPENN team) to work on statistical results reproducibility with Camille Maumet and Thomas E Nichols (Oxford Big Data Institute, UK).
Work experience
Since 2023 |
Researcher · Postdoc @
INRIA (IRISA lab, EMPENN team), Rennes #Statistics #SignalProcessing #Reproducibility |
2021-2022 |
Researcher · Postdoc @
INSERM (COMETE lab), Caen #MachineLearning #SignalProcessing |
2019-2020 |
Researcher · Postdoc @
NTHU (BIIC lab), Taiwan 🇹🇼 #DeepLearning #SignalProcessing |
Education
2015-2019 |
Ph.D in Health Data Analysis (Magna Cum Laude) ·
RWTH university, Aachen, Germany 🇩🇪 [RWTH library publication] [PDF] #MachineLearning #Statistics #Neuroimaging #Bigdata #HealthData |
2013-2015 |
Master in Neurosciences (with honors) · University of Tours #Statistics #Brain #Psychiatry + Psychologist title, supervision by the Master "Child psychology" · University of Tours |
2010-2013 |
Bachelor in Psychology (with honors) · University of Tours + 3rd year · Bucknell University, Lewisburg, USA 🇺🇸 |