Professor, Division Chief & Biostatistics MS Program Director
PhD (Statistics), Bowling Green State University, Bowling Green, OH, 1995
Statistical Change Point Analysis, Applied Statistics, Statistical Inference, Statistics in Bioinformatics, Biostatistics, Statistical Modeling of genomics data and DNA copy number experimental data.
Dr. Chen is specialized in statistical change point analysis, which has a wide spectrum of applications in industrial quality management, climatology, economics and finance, medicine, genetics, etc. She has done extensive research in the area of statistical change point analysis and has co-authored a research monograph on change point analysis which was published by Birkhäuser in year 2000. The expanded second edition of this monograph entitled “Parametric Statistical Change Point Analysis: With Application to Genetics, Medicine, and Finance” was published by Birkhäuser in 2012. In this second edition, new chapters and new applications of statistical change point analysis in genetics and medicine were some of the new features. In addition Dr. Chen has rich collaborative research experience in molecular biology and bioinformatics. She enjoys working with biological and medical researchers on modeling data resulting from various biological experiments. She has participated in collaborative research projects in modeling microarray data for the studies of hematopoietic stem cell differentiation and proliferation, patterns of periodicity in transcriptional programs of mouse somitogenesis, the yeast histone variant, and the gene expression profile of tissues from children with heart diseases, to just name a few. She has developed methodology for modeling array Comparative Genomic Hybridization data (aCGH) in the effort of identifying DNA copy number variants (CNVs) in tumor and cancer cell lines, and is currently working on developing algorithms for detecting CNVs in cancer and tumor cell lines using the next generation sequencing data, modeling DNA methylation data, and RNA-seq data.
Dr. Chen is an elected fellow of the American statistical Association (ASA).
Professor Jie Chen is recently named Editor-in-Chief of the Journal of Applied Statistics by Taylor & Frances, UK https://www.tandfonline.com/toc/cjas20/current
The Aims and Scope of the Journal can be found at http://www.tandfonline.com/action/journalInformation?show=aimsScope&journalCode=cjas20
Please contact her for journal related matters at this email address: JAppliedStats@Augusta.edu
Undergraduate teaching in Introductory Statistics, and Graduate teachings in Statistics, Biostatistics, Applied Statistical Methods, Mathematical Statistics, Theory of Linear Models, Statistical Inference, Likelihood Principle, Regression Analysis, Data Analysis, and Generalized Linear Models.