My research interests are at the interface of mathematical statistics and new technology-generated data. I employ a combination of statistical theory and computational tools that I have mastered during graduate and postdoctoral training with collaborators to knowledge discovery.
Applied statistical research: statistical methods for multiple measurements made at the genome-level at multiple gestational age from pregnant women.
Theoretical research: approximation theory for learning dependency in high-dimensional data.