He earned a PhD and BS in computer science from the University of Maryland-College Park. Prior to joining Stony Brook, he was a visiting scholar as well as a Postdoctoral Research Associate at Carnegie Mellon University. Patro’s main academic interests are in the design of algorithms and data structures for processing, organizing, indexing and querying high-throughput genomics data. He is also interested in the intersection between efficient algorithms and statistical inference. Previous to this NSF CAREER award, Patro was the Stony Brook PI on an NSF award shared with Cambridge University entitled Data-driven hierarchical analysis of de novo transcriptomes. Patro and his students develop, maintain and contribute to a number of different open-source bioinformatics software tools.