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. Lately, I have focused on methods for second generation sequencing data.
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:
- Probabilistic models for second-generation sequencing quality assessment, base-calling and mapping
- Extending Smoothing-Spline ANOVA models with pedigree data
- Tree-Structured Covariance Matrices for Gene Expression Analysis
