After studying psychology at the university of Tours (France) and Bucknell (USA), I pursued a PhD in computational neuroscience supervised by Danilo Bzdok (McGill, Canada) and Danielle Basset (UPENN, USA) and supported by a PhD scholarship of the International Research Training Group (DFG-IRTG 2150). 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 investigate psychopathology. Next, I worked as a postdoc in Chi-Chun Lee's BIIC lab in Hsinchu (Taiwan), where we focused on learning predictive models based on behaviors, brain-region and brain-network priors using machine-learning tools such as semi-supervision and structured sparsity penalties. I recently moved back to France and joined the Inserm Comete laboratory team of Leslie Decker to identify markers that predict transition to Alzheimer's disease or related dementia.
Use the blue arrows to navigate through figures of publications I co-authored.
All figures are built using Python (source code for each on my Github account) and Gimp.
Click on the image to access the respective article.