My research focus is at the interface of Statistics and Computational Biology, addressing high-dimensional and missing data problems in genomics, especially relating to gene regulation. I have been involved in the development of several statistical methods for the discovery of transcription factor binding sites from DNA sequence in a variety of genomes, ranging from bacteria to human. More recently, I have been interested in the development of Bayesian methodologies for the elucidation of gene regulatory networks in eukaryotic genomes combining multiple data types, and feature discovery in high throughput genomic data from genome tiling arrays, in which I collaborate with researchers at UNC and UCSD. My other research interests include Bayesian model selection, model-based classification and clustering techniques and statistical inference in hidden Markov and other latent class models.

New Course (Spring 2009): Advanced Statistical Methodology for the Computational Biosciences Click here for the tentative syllabus

JSM 2009 (Aug 1-6, 2009) in Washington, D. C.

IMS New Researchers' Conference 2007