Qihuang Zhang is an assistant professor of Epidemiology, Biostatistics, and Occupational Health (EBOH) at McGill University. His research interests focus on developing statistical and machine learning methodologies to address challenges in genetics and genomics data. His recent research has been centred around developing methods to process medical images, spatial omics, and single-cell RNA-seq data, which can gain new insights into Alzheimer’s disease and cancer. Previously, he received his Ph.D. in Statistics from the University of Waterloo in 2020 and was a postdoctoral fellow at the University of Pennsylvania.
Dr. Zhang has experience in developing statistical methods for data with high dimensions, measurement errors, and complex association structures. He is also passionate about building statistical software in R and python.
Biostatistics, Noisy data, Statistical genomics, Machine learning, Spatial statistics, Alzheimer’s Disease, COVID-19