Dr. Alejandro De La Vega's lab at the University of Texas at Austin focuses on improving how researchers analyze and interpret functional MRI data using advanced artificial intelligence techniques. They are developing tools that automate the extraction of meaningful insights from the massive amount of neuroimaging literature, making it easier for scientists to conduct research and generate new hypotheses about brain function. This work aims to bridge gaps in manual data analysis and enhance the efficiency and accuracy of scientific inquiry in neuroimaging.