معرفی
Joaquín Goñi is an Assistant Professor in the departments of Industrial Engineering and Biomedical Engineering at Purdue University. His research bridges biomedical engineering, neuroscience, and computational methods to study brain structure-function coupling, functional connectomes, and their applications to neuropsychiatric and neurodegenerative disorders.
- Ph.D. in Sciences from University of Navarra, Spain (2008)
- Postdoctoral fellowship at Functional Neuroimaging Laboratory, Center for Applied Medical Research, Spain
- Research Associate at Indiana University (2011-2014)
- Associate Research Scientist and Adjunct Assistant Research Professor at Indiana University School of Medicine
His research interests span functional neuroimaging, brain connectivity analysis, and cognitive neuroscience, with a focus on machine learning techniques applied to neuroimaging data. Recent methodological work includes Tucker tensor decomposition, persistence homology, and penalized regression approaches to study Alzheimer's disease and alcohol use disorder. His publications highlight trends in topological data analysis, connectome fingerprinting, and phenotypic trait mapping through dynamic functional connectivity modeling.
Dr. Goñi has contributed to multimodal neuroimaging techniques, including bimodal EEG-fMRI decomposition and MEG-theta alpha dynamics analysis. His work at the Center for Neuroimaging and Indiana Alzheimer Disease Center underscores his expertise in neurodegenerative disease research. Current affiliations include the Functional Neuroimaging Laboratory and Human Connectome Project collaborations.
