Ph.D., 2007, University of Wisconsin - Madison, Statistics
M.S., 2002, Tianjin University, China, Applied Mathematics
B.S., 2000, Tianjin University, China, Applied Mathematics
Dr. Ruiyan Luo received her PhD in Statistics from University of Wisconsin-Madison in 2007. Subsequently she was a postdoctoral at Yale University, Department of Epidemiology and Public Health. In 2010, she joined the Department of Mathematics and Statistics in GSU as an Assistant Professor.
Dr. Luo joined the School of Public Health as an Assistant Professor in Biostatistics in August 2012. Her research focuses on functional data analysis, Bayesian statistics, and high dimensional data analysis. She is interested in developing novel methods for linear and nonlinear functional regression models, with functional responses and/or multiple or even thousands of functional predictors. She also is interested in developing Bayesian statistical models to address problems in public health and biology, and developing novel statistical methods for inferring biological networks and analyzing high dimensional data emerging from genetics.
Click here to view free software packages created for biostats researchers by Dr. Luo.
Luo, Ruiyan, and Xin Qi (2016) Function-on-function linear regression by signal compression. Journal of American Statistical Association. http://www.tandfonline.com/doi/abs/10.1080/01621459.2016.1164053
Luo, Ruiyan, and Xin Qi (2015) Sparse wavelet regression for multiple predictive curves. Journal of Multivariate Analysis. 134: 33-49.
Qi, Xin, and Ruiyan Luo (2015) Sparse principal component analysis in Hilbert space. Scandinavian Journal of Statistics. 42: 270-289.
Nucci, A.M., C.S. Russell, R. Luo, V. Ganji, F. Olabopo, B. Hopkins, M. F.
Holick, and K. Rajakumar (2013) The Eectiveness of a Short Food Frequency Questionnaire in Determining Vitamin D Intake in Children. Dermato-Endocrinology 5(1)1-6.
Qi, X., R. Luo and H. Zhao (2013) Sparse principal component analysis by choice of norm. Journal of Multivariate Analysis 114:127-160
Luo, R. and H. Zhao (2012) Protein quantitation using iTRAQ: review on the sources of variations and analysis of nonrandom missingness. Statistics and Its Interface 5199-107.