PhD (Biostatistics), University of Michigan, Ann Arbor, MI, 2016
Monte Carlo Methods; Resampling Methods; Multilevel Models; Numerical Methods; Genomics; Bioinformatics
Dr. Yang Shi joined the Medical College of Georgia at Augusta University as an Assistant Professor of Biostatistics and Data Science in the Department of Population Health Sciences in 2018. He received his Ph.D. and M.S. degrees in Biostatistics from University of Michigan, Ann Arbor and his B.S. degree in Biological Science from Peking University. The primary research interest of Dr. Shi is developing statistical methodologies and computational techniques for the mining and analysis of large-scale genomic data. He is currently focusing on the improvement of the computational efficiency of resampling-based testing methods in genomic data analysis and the application of multilevel models for the study of complex genomic data. In addition, Dr. Shi has a broad range of interests in applying statistical methodologies and bioinformatics tools for solving scientific problems in biomedicine and public health. Specifically, he is interested in neuroscience and cancer research, and he collaborates with investigators on statistical modeling and data analysis in studying the genetic and molecular mechanism, population-based prevention or clinical treatment of different types of neurological and neuropsychiatric diseases and cancers.
Introduction to Statistical and Machine Learning; Intermediate Theoretical Statistics; High-throughput Genomic Data Analysis.