Bio
Fascinated from an early age by the mysteries of the brain, I chose to specialize in the technologies that make it possible to explore it, in particular neuroimaging. My scientific trajectory focuses on the development of machine-learning methods combined with neuroimaging to better understand the biological mechanisms underlying disorders of consciousness and, more recently, psychiatric disorders.
I obtained my degree in biomedical imaging engineering in 2019 in France, specialized in artificial intelligence and brain imaging during my final-year project in Valparaíso (Chile), and subsequently completed my PhD at NeuroSpin (CEA Paris-Saclay). There, my project DeepStim, under the mentorship of Dr. Jarraya and Dr. Grigis, focused on modeling brain dynamics and their relationship to states of consciousness. I combined experimental data with computational models, producing findings published in top-tier peer-reviewed international conference proceedings such as MICCAI and ISBI. In September 2024, I joined the Neuroimaging & Brain Networks Lab at the University of Seville, where research focuses on changes in brain organization associated with psychiatric and neurodevelopmental disorders. My current work aims to develop robust, data-driven tools for classification and stratification in mental health. In particular, I model non-linear associations between diagnoses and brain biomarkers and capture interactions across brain structures using multivariate supervised learning and interpretable classifiers.
Beyond research, I place great value on teaching, science outreach, and mentorship, actively participating in Brain Awareness Week and co-organizing events for the International Day of Women and Girls in Science (11F). A firm believer in the idea of mens sana in corpore sano, when I am not in the lab I enjoy dancing with gravity—tracing yet-unimagined paths on a climbing wall or across a dance floor.
