Nancy Reid

Nancy Reid, OC, FRS, FRSC, is a University Professor of Statistical Sciences at the University of Toronto. Her research focuses on statistical inference, asymptotic theory, and the practical applications of statistical methods in big data and genomics. She has held visiting roles at institutions across Australia, including collaborations during her Sydney Mathematical Research Institute visit. Reid advocates for rigorous statistical analysis, critiquing overhyped claims in media and promoting evidence-based communication through initiatives like @callin_bull and @justsayinmice on Twitter.

Her work bridges theoretical and applied statistics, addressing challenges like 'big p, small n' problems in genomics and developing methods for data visualization and inference. Reid has been recognized with prestigious awards, including Fellowship in the Royal Society and the Royal Society of Canada. She teaches courses such as Mathematical Statistics II and Methods of Applied Statistics I, emphasizing critical thinking and reproducibility in statistical practice.

Reid's contributions span over 150 publications, including co-authored works with D.A.S. Fraser on higher-order asymptotics. She has delivered keynote lectures globally, such as the Fisher Memorial Lecture (2016) and the COPSS Distinguished Achievement Award Lecture (2022). Her research and advocacy highlight the evolving role of statistics in data-driven decision-making.