Eduardo Castro joined the Neuroimaging group of the Computational Biology Center (CBC) at IBM in 2016. His goal is to incorporate his expertise in machine learning to achieve a better understanding of mental disorders.
He received his PhD degree in Computer Engineering at the University of New Mexico in 2013. During this time he worked as a research assistant in collaboration with the Mind Research Network. His work involved the design and implementation of predictive models applied to functional magnetic resonance imaging (fMRI) that provided an insight of the underlying pathological processes involved in schizophrenia. After graduating from the University of New Mexico, he worked directly with the Mind Research Network as a postdoctoral fellow, extending his work to the analysis of changes in the structure of the brain, with a special emphasis in gray matter degeneration.
Now Eduardo wants to further expand the limits of machine learning algorithms in neuroimaging towards the characterization of brain dynamics in Huntington's Disease (HD). As opposed to other mental disorders, the eventual development of HD by a given person can be detected by means of genetic testing, which provides a unique opportunity to analyze data from presymptomatic individuals. His goal is to capitalize on the vast neuroscience expertise of the members of the CBC team to tailor algorithms to discover patterns of disease progression based on viable mechanistic models.