I am a computational neuroscientist with a strong interest in human cognition, in particular working memory and decision-making and how these are affected in pathological conditions.
My research approach reflects the breadth of my academic background, which spans computer science, biology and machine learning. In my research, I use biophysical and deep learning models to guide the analyses of large scale recordings, as well as the design of novel human experiments.
My current research goal is to help unveil the across-region interactions along the primate brain that support cognitive flexibility, and whether their disruption is the basis for the cognitive inflexibility observed in clinical populations, such as schizophrenia. This goal will be accomplished within the newly created Institute de Neuromodulation (INM), born out of a close collaboration between the Sainte-Anne Hospital and Neurospin, in Paris.
At INM, we record and manipulate the human brain at all scales with non invasive methods (ultra high field MRI, M/EEG), invasive electrophysiology (sEEG, tracking of monoamine release with voltammetry) as well as casual interventions (deep brain stimulation, pharmacology, vagus nerve stimulation, focused ultrasound stimulation + intravenous infusion of microbubble agent and TMS).
We are hiring at all levels, so don't hesitate to reach out if you are interested in joining the group!
2024- Junior group leader at Institut de Neuromodulation and Neurospin, Paris
2023 Visiting Researcher, Williams lab, Center for Computational Neuroscience at the Flatiron Institute.
2020-2024 Postdoc, Ostojic lab, Group for Neural Theory, Ecole Normale Superieure.
2019-2020 Postdoc, Compte lab, Theoretical Neurobiology, IDIBAPS.
2016 Visiting Researcher, Buschman lab, Princeton University.
2013-2019 PhD in Computational Neuroscience, Compte lab, Universidad de Barcelona.
→ gap year in Mexico.
2009-2011 MSc in Bioinformatics, Università Di Bologna.
2006-2009 BSc in Computer Science, Universidade do Minho, Universiteit van Amsterdam.