My research interests are focused on the development of statistical methods for high dimensional data analysis that arises in metagenomic microbial communities sequencing or continuous monitoring of physical activity using wearable devices. My research program is primarily motivated by statistical challenges encountered in clinical studies I participate in, such as choosing an efficient study and quality protocol design, combining data from multiple sources, applied multivariate methods for dimension reduction and visualization of high dimensional data with special structure such as sparsity or non-negativity, data normalization techniques, and functional longitudinal data analysis.
I collaborate with microbiologists, statisticians and mathematicians to achieve both biologically relevant and mathematically justified solutions to these interdisciplinary problems. As a part of our work, we provide software solution and data analysis methods manuals to our collaborators working in clinical and translational research.