The University of Texas at Austin · Biomedical EngineeringNeuroimaging Insights Lab
Alejandro De La Vega · Austin, Texas
Research Focus
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.
functional MRImeta-analysisartificial intelligenceneuroimagingdata annotationnatural language processing
Research Aims
3AIM 01Develop a framework for extracting and validating information from neuroimaging articles.
AIM 02Create infrastructure for continuous data retrieval and processing of neuroimaging literature.
AIM 03Build a platform to enable users to conduct interactive meta-analyses and browse large-scale studies.
Skills the Lab Values
data visualizationnatural language processingmachine learningstatistical analysisdatabase managementprogramming in Pythoninformation retrievalcloud computingdata curation
Output against the department
Publications102bottom 18% of dept.487th of 595
this lab
most publishedleast published
Citations2.6kbottom 19% of dept.482nd of 595
this lab
most citedleast cited
Career totals from OpenAlex, compared against labs that share a department. A department spans everything from one paper to tens of thousands, so bar heights are on a log scale — otherwise the largest lab would flatten every other bar to a line.