Office: AUST 318
Research interests lie in development and application of statistical and computational methods to address scientific problems in genomics, systems biology, and complex diseases. Current methodological research topics include statistical learning and inference, high-dimensional correlated data analysis, graphical models, and network analysis.
(With Ouyang, Z. and Zhao, H.) 2017. A statistical framework for data integration through graphical models with application to cancer genomics. The Annals of Applied Statistics, 11(1), pp.161-184.
(With Linder, M.H., Shojaie, A., Ouyang, Z., Shen, R., Baggerly, K.A., Baladandayuthapani, V. and Zhao, H.) 2017. Dissecting pathway disturbances using network topology and multi-platform genomics data. Statistics in Biosciences, doi:10.1007/s12561-017-9193-0
(With Davis, R.) 2013. Principal trend analysis for time-course data with applications in genomic medicine. The Annals of Applied Statistics, 7(4), pp.2205-2228.
(With Tibshirani, R. and Davis, R.) 2013. Classification of patients from time-course gene expression. Biostatistics, 14(1), pp.87-98.