About me

I am a research/data scientist with an interest in signal processing, machine learning and data analysis. I am especially interested in topics that have an impact in society (e.g. healthcare). Most of my experience comes from doing brain imaging research in an academic environment, and I recently made a leap into the start-up world to work on physiological signal processing and other interesting problems a bit closer to the application.

From 2017 to 2021, I was a Research Fellow at the Massachusetts General Hospital and at Harvard Medical School, in Boston (USA). As part of the Laboratory of Computational Neuroimaging, I worked on the development of methods for the analysis of Magnetic Resonance Imaging (MRI) data to study how the brain is connected, physically looking at tissue structure with diffusion MRI and functionally looking at patterns of synchronous activity with functional MRI.

I did my PhD (2013-2016) in applied mathematics at Inria (France), where I worked on the development of statistical models for the detection of brain activity from two different functional MRI modalities. You can read more about it here.

My previous training includes BSc and MSc in Electrical and Computer Engineering at the University of the Balearic Islands (UIB) and at the Polytechnic University of Catalonia (UPC), respectively, in Spain; and a MSc in applied mathematics, vision and machine learning at the ENS Cachan, in France.