I hold a degree from the École Supérieure de Physique et de Chimie Industrielles (ESPCI) and a PhD in Acoustics from Université Paris Sciences et Lettres. As a researcher, I focus on cognitive neuroscience and neuroimaging, particularly at the interface between measurement methods and their objectives.
My approach integrates biology with a deep understanding of the mathematical and physical principles behind the phenomena studied.
After a postdoc at the Institut du Cerveau et de la Moelle, I received a 3-year ‘Espoir de la Recherche’ grant from the Fondation pour la Recherche Médicale, allowing me to deepen my expertise in MRI, neural activity perturbation methods (TUS, DREADDs), and complex socio-cognitive research.
I’m also committed to mental health advocacy in the workplace and fighting social inequalities related to gender and disability.
I am open to R&D roles in health and neuroscience, preferably in France or the EU.
Feel free to reach out via email.
Professional activities
2022-present : Postdoctoral Researcher, Executive Functions Neurobiology Team, Stem-Cell and Brain Research Institute, INSERM U1208, Bron. Recipient of the 3-year « Espoir de la Recherche » postdoctoral fellowship from the Fondation pour la Recherche Médicale.
2021-2022 : Postdoctoral Researcher, Mov’It Team: Movement, Investigations, Therapeutics, Institut du Cerveau et de la Moelle, Paris.
2017-2021 : Doctoral Researcher, Physics for Medicine Laboratory, ESPCI Paris, Paris.
Educational background
2017-2021 : Université Paris Sciences et Lettres – PhD in Acoustics and Neuroscience.
2016-2017 : Université Pierre et Marie Curie – Master’s in Fundamental Neuroscience.
2013-2017 : École Supérieure de Physique et de Chimie Industrielles (ESPCI Paris) – ESPCI Paris Engineering Program.
Scientific training
2019 : General Training in Laboratory Animal Surgery (Institut du Cerveau, Paris, France).
2019 : Training in Animal Experimentation Ethics, Designer Level (CNRS, Marseille, France).
Skills
Scientific Skills: Management and routine operation of neuroimaging devices (fUS, MRI, EEG); pre-analysis and analysis of neuroimaging data (AFNI, SPM, FSL, MATLAB, Python); machine learning (CNN, RNN, FCN, gradCAM); development of projects and experimental paradigms; scientific communication.
Languages: English (fluent), Spanish (basic).