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:
* Computational epigenomics
* Second-generation sequencing data quality assessment and analysis
* Extending Smoothing-Spline ANOVA models with pedigree data
* Tree-Structured Covariance Matrices for Gene Expression Analysis
Computational Biology, Genomics, Cancer genomics, Personalized Medicine, Data Science