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Taner Sen is an Adjunct Professor in the Department of Bioengineering at the University of California, Berkeley, and a Lead Scientist in Research Computational Biology at the USDA Agricultural Research Service. His work primarily focuses on the management and sharing of biological data through the application of FAIR principles. He conducts analysis on genomes, protein structures, and gene networks leveraging bioinformatics and machine learning methodologies. Additionally, he is the Director of the GrainGenes database, which serves as the USDA’s flagship centralized database for wheat, barley, rye, and oat data. His research interests span a variety of topics within computational biology, emphasizing the importance of developing web-based tools tailored to serve research communities effectively.
USDA Agricultural Research Service • Washington, D.C.
Leading research initiatives as the Director of GrainGenes database and focusing on computational biology.
The Mathematics Subject GRE is required for the Fall 2026 admissions cycle. General GRE is optional.