Angelo Canty

Angelo Canty is an Associate Professor in the Department of Mathematics and Statistics at McMaster University. His research focuses on statistical genetics, genetic epidemiology, and biostatistical methods applied to diabetes and related conditions. He has contributed to studies on genome-wide association analyses, epigenetic mechanisms, and the genetic basis of diabetes complications. His work often integrates statistical methodologies with biological data to uncover associations between genetic variants and disease outcomes.

Dr. Canty teaches advanced statistical courses including Probability and Statistics for Engineering, Computational Methods for Inference, and Graduate Level Topics in Statistics. His research spans disciplines such as genetic risk factor identification, DNA methylation analysis, and longitudinal studies of diabetic kidney disease and cardiovascular complications. Notable contributions include studies on glycemic control in Type 1 Diabetes and the role of specific genetic loci in disease progression.

He has collaborated extensively with researchers in diabetes and immunology, publishing in journals like Genetic Epidemiology, Diabetes, and BMC Genetics. While no awards are explicitly listed, his prolific publication record and teaching roles highlight his academic impact. His research often emphasizes methodological advancements in statistical genetics and their application to real-world health challenges.