Faculty Research Interests

Research Interests: Statistical Computing, Bayesian modeling, Markov chain Monte Carlo, statistical modeling in cancer genomics and computational biology, data science, machine learning, big and high-dimensional data, dimension reduction, statistical analyses in biomedical research

Associate Professor: Mathematical biology; optimization; numerical analysis; inverse problems; statistics and scientific computing; methodology development for mathematical modeling and simulation of metabolic and genetic networks; data analysis including microarray and quantitative trait loci.

Research Topics: Statistical genetics and experimental design.

Research Topics: Statistical Sciences (Statistics and Biostatistics): robustness, theory (& applications) of statistical distances, mixture models, model assessment, classification & clustering, machine learning, kernel methods, foundations of data science. Interdisciplinary: text mining, biomedical informatics, safety of medical products, data science methods.

Research Topics: Bio-technical image analysis, array comparative genomic hybridization (aCGH) analysis, microarray analysis, nonparametric statistics, bootstrap methods, software development.

Research Topics: Statistical Sciences (Statistics/Biostatistics): classification metrics, biomarker/medical device evaluation and classification algorithms; exact and computationally efficient statistical procedures for reliability measures and other essential measures used in applied fields; general statistical methodology with applications in public health and medical science. Interdisciplinary: medical device, clinical trials, biomedical research, cancer research, epidemiology, biobehavioral research, health policy, nursing.

Research Topics: Receiver operating characteristic curves analysis; measurement error; optimal designs; regression models; censored data; change point problems; sequential analysis; statistical epidemiology; biostatistics; applications of Bayesian approaches to tests; asymptomatic methods of statistics; forecasting; sampling; optimal testing; nonparametric tests; empirical likelihoods; renewal theory; tauberian theorems; time series; categorical analysis; multivariate analysis; multivariate testing of complex hypotheses; factor and principal component analysis

Research Topics: Clinical trial design, permutation tests, resampling techniques, goodness-of-fit tests, distributional characterizations, copulas, tests of independence, biostatistics

Research Topics: Stochastic processes; small clinical trials.