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Alejandro De La Vega is a Research Assistant Professor at the University of Texas at Austin in the Psychoinformatics Lab. He holds a PhD from the University of Colorado Boulder. His research focuses on developing tools that enable scientists to use modern technology, particularly machine learning, to accelerate reproducible discovery in human neuroimaging data. He is passionate about encouraging the adoption of reproducible research practices and making it easier to transparently share data analyses and facilitate the reuse of open datasets. Alejandro has concentrated on developing interoperable standards and building accessible software libraries and web-based platforms to enhance scientific collaboration and data sharing.
General requirements for the Graduate School at UT Austin apply to all programs unless otherwise specified.