Hector Corrada Bravo

Associate Professor
3114F Biomolecular Sciences Building
(301) 405-2481
Education: 
Ph.D., University of Wisconsin (Computer Science)
Biography: 

Hector Corrada Bravo is an Assistant Professor in the Department of Computer Science at the University of Maryland, College Park. He is a member of the Center for Bioinformatics and Computational Biology (CBCB) and has a joint appointment in the University's Institute for Advanced Computer Studies (UMIACS). He received his Ph.D. from the University of Wisconsin in Computer Science in 2008, held a post-doctoral fellowship in Biostatistics in the Johns Hopkins Bloomberg School of Public Health (2008-2010) and started at the University of Maryland in 2010.

His research centers on statistical and machine learning methods for high-throughput genomic data analysis. This includes pre-processing of measurements from high-throughput assays, disease risk models that integrate high-throughput genomic and other data, and cancer epigenetics and biomarker discovery. His research interests include the development of new methods and tools from multiple areas in the computational and statistical sciences: basic bioinformatics/biostatistics, statistical and machine learning, data management and numerical optimization.

Publications

2014


Akula N., Barb J., Jiang X., Wendland J.R, Choi K.H, Sen S.K, Hou L., Chen D.TW, Laje G., Johnson K. et al..  2014.  RNA-sequencing of the brain transcriptome implicates dysregulation of neuroplasticity, circadian rhythms and GTPase binding in bipolar disorder. Molecular psychiatry.

2013


Nickerson ML, Im KM, Misner KJ, Tan W, Lou H, Gold B, Wells DW, Bravo HCorrada, Fredrikson KM, Harkins TT et al..  2013.  Somatic alterations contributing to metastasis of a castration-resistant prostate cancer. Human mutationHuman mutation. 34

Boca SM, Bravo HCorrada, Caffo B, Leek JT, Parmigiani G.  2013.  A decision-theory approach to interpretable set analysis for high-dimensional data. BiometricsBiometrics. 69

2012


Shi W, Wahba G, Irizarry RA, Bravo HCorrada, Wright SJ.  2012.  The partitioned LASSO-patternsearch algorithm with application to gene expression data. BMC bioinformaticsBMC Bioinformatics. 13

Bravo HCorrada, Pihur V, McCall M, Irizarry RA, Leek JT.  2012.  Gene expression anti-profiles as a basis for accurate universal cancer signatures. BMC bioinformaticsBMC Bioinformatics. 13

2011


Shan L, Yang H-C, S. Rabi A, Bravo HCorrada, Shroff NS, Irizarry RA, Zhang H, Margolick JB, Siliciano JD, Siliciano RF.  2011.  Influence of host gene transcription level and orientation on HIV-1 latency in a primary-cell model. Journal of virologyJournal of virology. 85

2010


Taub MA, Bravo HCorrada, Irizarry RA.  2010.  Overcoming bias and systematic errors in next generation sequencing data. Genome medicineGenome medicine. 2

Leek JT, Scharpf RB, Bravo HCorrada, Simcha D, Langmead B, W. Johnson E, Geman D, Baggerly K, Irizarry RA.  2010.  Tackling the widespread and critical impact of batch effects in high-throughput data. Nature reviews. GeneticsNature reviews. Genetics. 11

Wu H, Irizarry RA, Bravo HCorrada.  2010.  Intensity normalization improves color calling in SOLiD sequencing. Nat MethNat MethNat MethNat Meth. 7

2009


Eng K.H, Bravo HCorrada, Keles S..  2009.  A phylogenetic mixture model for the evolution of gene expression. Molecular biology and evolutionMolecular biology and evolution. 26

Irizarry R.A, Bravo HCorrada.  2009.  Model-based quality assessment and base-calling for second-generation sequencing data. Johns Hopkins University, Dept. of Biostatistics Working PapersJohns Hopkins University, Dept. of Biostatistics Working Papers.

2008

2007


Bravo HCorrada, Ramakrishnan R.  2007.  Optimizing mpf queries. Proceedings of the 2007 ACM SIGMOD international conference on Management of data - SIGMOD '07.

2005


Bravo HCorrada, Page D., Ramakrishnan R., Shavlik J., Costa V.S.  2005.  A framework for set-oriented computation in inductive logic programming and its application in generalizing inverse entailment. Inductive Logic ProgrammingInductive Logic Programming.