AQUILUÉ LLORENS, DAVID

My research focuses on developing whole-brain models to better understand the mechanisms by which misfolded proteins, key hallmarks of Alzheimer’s Disease, spread throughout the brain, contribute to neurodegeneration, and disrupt neural functioning. My ultimate goal is to leverage computational neuroscience to improve early diagnosis and treatment of neurodegenerative. I am proud to be an INPhINIT Fellow supported by "Fundació la Caixa". 

During my Engineering Physics Bachelor's degree I discovered a passion for computational neuroscience and artificial intelligence, which led me to pursue a Master’s degree in Computational Neuroscience and Neuroengineering at Université Paris-Saclay. After graduating, I worked as a Research Engineer at Starlab Barcelona, a private R&D company, where we implemented machine learning and deep learning algorithms for advanced, data-driven analyses of electroencephalography (EEG) recordings, also in the context of neurodegenerative diseases.