Héctor Corrada Bravo is an Associate Professor of Computer Science at the University of Maryland and its Center for Bioinformatics and Computational Biology.
His research focuses on efficient and effective interactive analysis of high-throughput genomic data. As a result, his group develops new methods and tools from multiple areas in the computational and statistical sciences: basic bioinformatics/biostatistics, statistical and machine learning, data visualization and management, and numerical optimization. Applications include cancer epigenetics, metagenomics, pre-processing of measurements from high-throughput assays and disease risk models that integrate high-throughput genomic and other data.
He received his doctorate in computer science from the University of Wisconsin in 2008. He held a post-doctoral fellowship in biostatistics in the Johns Hopkins Bloomberg School of Public Health from 2008 to 2010 and joined the University of Maryland in 2010.