Brain and Data Science lab at the University of Virginia is an interdisciplinary hub where neuroimaging, high-performance computation, and rigorous quantitative methods meet to tackle big questions about brain structure, function, and health. Graduate students in the lab gain hands-on experience with large-scale MRI and electrophysiology datasets, learn state-of-the-art tools for image processing, connectomics, time-series and spectral analysis, and develop multivariate and network-based models that translate into real-world applications (from biomarkers for brain disorders to reproducible open-science workflows). The group emphasizes skill-building — coding, scalable pipelines, and advanced statistics — while offering close mentorship, collaborative projects across the Brain Institute and School of Data Science, and opportunities to contribute to open data and methods that shape the broader neuroinformatics community. If you are seeking rigorous training at the intersection of neuroscience and data science, a supportive lab environment, and projects that are both methodologically innovative and translationally relevant, the Brain and Data Science lab provides a fertile place to launch a research career.
Research Tags: Neuroimaging & MRI Analytics, Neuroinformatics, Brain Network & Connectome Analysis, Data Science & Machine Learning, Reproducible & Open Neuroscience, Computational Brain Health Modeling
