Shirley Mills (nee Pattrick) (B.Sc. Hon.1969, M.Sc.1970 - Statistics, Cert. Ed 1971, U. Manitoba, PhD.1983 Statistics and Applied Probability, U. Alberta). Shirley joined the Department of Mathematics and Statistics, U. Winnipeg in 1971 and taught there until 1980. She taught in the Department of Statistics and Applied Probability at U. Alberta 1980-83 while completing her PhD degree and joined Carleton University in September 1983. She is a professor of both mathematics and statistics. While initially specializing in mathematical statistics, she developed a love for consulting and started the first statistical consulting centre at Carleton University in 1987. In 1995 she developed the first Canadian university graduate course in Data Mining. She has won awards for secondary teaching (Gold Medal) and university teaching. She has mentored over 100 graduate students and been in charge of the graduate co-op program in her department for over 15 years and now acts as the Faculty of Science Grad Co-op Advisor. She is the 2017 Isobel Loutit Lecturer at the Statistical Society of Canada meeting in Winnipeg. She became Executive Director of the Statistical Society of Canada in 2011 and has been one of the original founders of the Statistical Association of Manitoba, President of the Statistical Society of Ottawa, Executive Secretary for the Statistical Society of Canada, Treasurer of the Canadian Association of University Teachers, President of the Carleton University Academic Staff Association, and President of the Orchard Estates Community Association.In her spare time she enjoys sewing, gardening, genealogy, and her canine companions. Shirley is married to Clayton Mills and they have a daughter Kathryn who seems to have followed in her parents' footsteps!
Ever wonder what happens to graduate students after they graduate? Check out the where are they now page.
December 10 – December 21: Fall Term Exam Period
December 22 – January 2: Winter Holiday (University Closed)
Statistics seminar: Erfan Houqe: “Random effects covariance matrix modeling for longitudinal data with covariates measurement error” — Thursday, January 17 at 2:45 p.m., P230 Duff Roblin.