Office: MCS 571
Statistical genetics and bioinformatics
Dr. Shuying Sun received her Ph.D. in statistics from the University of Toronto in Canada. Her research focuses on addressing challenging genetic and epigenetic questions using statistical and computational methods. In particular, Dr. Sun has been working on statistical genetics and bioinformatics with a focus on methylation microarray and sequencing data analysis, haplotype inference, mutation age estimation, and genetic variant identification. Dr. Sun has collaborated with biomedical researchers from different research groups in Canada and the United States on projects related to complex diseases (e.g., cancer and arthritis). She has also been developing statistical methodologies and software packages for genomic and epigenomic problems using Bayesian methods, hidden Markov models, Markov Chain Monte Carlo algorithms, and linear models. These methodologies and software packages have been published in more than 20 peer-reviewed research articles in high-impact journals. For these journals, the average impact factor is 4.3, and the average H index is 125.2.