Current Research and Scholarly Interests
The current emphasis of my lab includes gene regulatory analysis and analysis of high throughput genomics data. These areas require new methods in statistical analysis, mathematical modeling and computation. Past contributions to mainstream statistics and bioinformatics include the use of Monte Carlo algorithms in Bayesian computation, asymptotic inference in high or infinite dimensional problems, and bioinformatics tools for the analysis microarray data and sequencing data. Recently we have made a major effort to analyze gene regulatory networks based on integrative modeling of multiple types of genomics data from diverse cell types and from single cells.We have also interested in the analysis of electronic medical records.