Postdoctoral researcher
Data analysis
I graduated in Physics from the University of Oviedo in 2014 and obtained a Master’s in Biomedical Physics from the Complutense University of Madrid in 2015. Through my Master’s thesis, I became involved in research at the Laboratory of Cognitive and Computational Neuroscience, which I joined in 2017.
In 2023, I earned a Ph.D. in Physics from the Complutense University of Madrid. My thesis focused on applying MEG signal analysis methods to characterize prevalent conditions of aging, such as Frailty and Alzheimer’s disease.
I am currently a postdoctoral researcher for the EU-funded eBRAIN-Health project, whose main objective is to deliver a distributed medical research platform for modeling and simulating complex neurobiological phenomena.
Secondary research areas
Computational neuroscience is an interdisciplinary field that uses mathematical models and theoretical analysis to understand the principles governing the physiology, structure, and development of the nervous system and related cognitive abilities. Specifically, in the laboratory we perform data-driven simulations of brain networks, aimed at reproducing network connectivity in health and disease. A parallel activity related to this area of research is the application of brain-like processing strategies to address engineering problems.
