Héctor Corrada Bravo bio photo

Héctor Corrada Bravo

Associate Professor
Center for Bioinformatics and Computational Biology
UMIACS
Computer Science
Univ. of Maryland

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Statistical and computational methods for high-throughput genomics.
Interactive data visualization. Metagenomics. Computational epigenomics.

What we work on

Our research focuses on efficient and effective interactive analysis of high-throughput genomic data. We develop 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.

Selected Projects

Epiviz

Interactive, exploratory visual analysis of genomic data

Metaviz

Interactive, exploratory visual analysis of metagenomic data

Metagenomics

Analysis tools for large high-throughput metagenomics sequencing projects