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. Computational epigenomics. Metagenomics. Second-generation sequencing data quality assessment and analysis.

 

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

 

Projects

More detail on my research projects may be found here, but some highlights include:

  • Interactive genomic data visualization
  • Anti-profiles: classifying cancer using heterogeneity
  • Computational epigenomics
  • Metagenomics
  • Second-generation sequencing data quality assessment and analysis

Contact :

hcorrada@umiacs.umd.edu

 

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