Grace Yi

Grace Y. Yi is a Professor and Tier I Canada Research Chair in Data Science at the University of Western Ontario. Her research focuses on statistical methodology for addressing challenges related to measurement error, causal inference, missing data, high-dimensional data, and statistical machine learning. She is the author of the monograph “Statistical Analysis with Measurement Error or Misclassification: Strategy, Method, and Application” (2017, Springer) and co-editor of the “Handbook of Measurement Error Models” (Grace Y. Yi, Aurore Delaigle, and Paul Gustafson, 2021, Chapman & Hall/CRC). Professor Yi is a Fellow of the Institute of Mathematical Statistics, a Fellow of the American Statistical Association, and an Elected Member of the International Statistical Institute. She is the 2025 Gold Medal recipient of the Statistical Society of Canada, a prestigious honour that serves to recognize current leaders in their fields. In 2010, she was awarded the CRM-SSC Prize from the Centre de Recherches Mathématiques and the Statistical Society of Canada. She has served as Co-Editor-in-Chief of The Electronic Journal of Statistics (2022–2024) and Editor-in-Chief of The Canadian Journal of Statistics (2016–2018). Currently, she is the Editor of the Statistical Methodology and Theory Section of The New England Journal of Statistics in Data Science. In addition to her editorial roles, Professor Yi was the Chair of the Lifetime Data Science Section of the American Statistical Association (2023), the President of the Statistical Society of Canada (2021–2022), and the Founder of the first International Chinese Statistical Association chapter in Canada (established in 2012).