Nelson Trujillo-Barreto

Nelson Trujillo-Barreto is a Lecturer in Computational Neuroscience at the School of Health Sciences, University of Manchester since January 2023. With over 25 years of experience in brain dynamics analysis, he specializes in developing probabilistic and biophysical generative models of neuroimaging data. His academic journey includes a PhD in Physical Sciences from Havana University (2006) and prior work as Head of the Department for Brain Dynamics at the Cuban Neuroscience Centre (1995-2014).

His research focuses on bridging the gap between recorded neuroimaging data and underlying neuronal activity through solving forward and inverse problems. Key areas include Brain Electromagnetic Tomography (BET), Bayesian models for estimating time-varying dynamical connectivity, and multimodal integration of EEG/MEG and fMRI data. His work has significant clinical applications in neurofeedback, brain-computer interfaces, and non-invasive brain stimulation for conditions like Neurofibromatosis Type 1 and Multiple Sclerosis.

His recent publications demonstrate strong trends in applying computational neuroscience to neurological disorders, particularly focusing on working memory, brain connectivity, and therapeutic interventions. His research shows increasing emphasis on multimodal integration and clinical translation of advanced neuroimaging techniques.

• UoM PCHN Best Poster Award (2025)

Dr. Trujillo-Barreto maintains active research collaborations with leading institutions including University College London, Cambridge University, McGill University, and various European neuroscience centers. His editorial roles include Associate Editor for Frontiers in Brain Imaging Methods and Frontiers in Computational Neuroimaging. He serves on prestigious review panels including the EPSRC Peer Review College and European Commission College of Experts.