My research interest lies in methodological development of computational statistical techniques, particularly Bayesian/semi-Bayesian techniques, to solve problems involving complex modern-day big and high-dimensional data, e.g., those arising in cancer genomics, computational biology and statistical ecology. Alongside methodological research, I also find research involving theoretical assessment and/or software implementation of computational techniques very interesting. My current research can be classified into five broad categories, namely, (a) statistical modeling in genomics and computational biology, (b) convergence assessments of MCMC algorithms, (c) Bayesian methodologies for dimension reduction in multivariate analysis, (d) development of computational statistical software, and (e) statistical analyses in collaborative scientific studies. Please see Publications for a detailed list of publications.