About
Tony Capra is an Assistant Professor of Computer Science at the Vanderbilt University School of Engineering, where he investigates intersections of computational methods and biomedical research. His work leverages advanced informatics to explore genetic and evolutionary questions with direct clinical relevance.
- Education: Ph.D. and M.A. in Computer Science from Princeton University; B.A. in Computer Science and Mathematics from Columbia University
Dr. Capra's research program focuses on developing computational frameworks to address challenges in human genetics, evolutionary biology, and biomedical applications. His laboratory specializes in:
- Biomedical machine learning
- Evolutionary genomics
- Structural variant interpretation
- Electronic health record analysis
- Comparative 3D genome modeling
- Population-scale data integration
His recent publications demonstrate increasing emphasis on cross-species evolutionary comparisons, structural biology applications, and clinical translation of genomic insights. Key methodologies involve machine learning at biobank scales and functional annotation of noncoding variation.
Current affiliations include the Department of Computer Science and Biomedical Engineering at Vanderbilt, with research teams working at the interface of computational biology and clinical data science. Collaborative efforts span human genetics, primate genomics, and precision medicine initiatives.
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