Assistant Professor
Department of Computer Science
UM Institute for Advanced Computer Studies
and Center for Bioinformatics and Computational Biology

 

Research interests: statistical and computational methods for high-throughput genomics. Second-generation sequencing data quality assessment and analysis. Computational epigenomics.

 

I also work on general methods for machine learning and data mining: kernel methods for predictive model building; mixed-integer programming for combinatorial estimation problems; theoretical results on semidefinite programming for model selection; classical database query optimization techniques for querying probabilistic data.

 

More detail on my research projects may be found here, but some highlights include:
  • Anti-profiles: classifying cancer using heterogeneity
  • Computational epigenomics
  • Second-generation sequencing data quality assessment and analysis
  • Metagenomics
  • Extending Smoothing-Spline ANOVA models with pedigree data
  • Tree-Structured Covariance Matrices for Gene Expression Analysis

Contact :

hcorrada@umiacs.umd.edu

 

3114F Center for Bioinformatics and Computational Biology
Biomolecular Sciences Bldg #296
College Park, MD 20742
301-405-2481