Current Position

Since 2025, I have been a Principal Investigator (INSERM) at the Neuromodulation Institute and NeuroSpin, Paris, where I lead a research group focused on computational neuroscience and machine learning approaches to understanding brain function.

Background

I completed my PhD in Computational Neuroscience at the Universidad de Barcelona with Albert Compte, where I worked on understanding the neural mechanisms of working memory and decision-making. During my doctoral studies, I had the opportunity to visit Princeton University to work with the Buschman lab on non-human primates research.

After completing my PhD, I worked as a postdoc at IDIBAPS, and later at the Group for Neural Theory with Srdjan Ostojic at the Ecole Normale Superieure in Paris, where I worked on how low-rank RNNs can be used to model across-region communication. I also spent time as a visiting researcher at the Flatiron Institute's Center for Computational Neuroscience with Alex Williams, where I became interested in shape metrics, a rigorous approach to compare representations across different brains.

Research Philosophy

I believe that understanding the brain requires a combination of theoretical frameworks, computational modeling, and close collaboration with experimentalists. My work bridges multiple scales and approaches, from single neurons to large-scale brain networks, always with the goal of understanding how neural computations support complex behavior.

About the Neuromodulation Institute

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 and TMS).

If this resonates with you in any way, please don't hesitate to reach out or check the research tab.