Alison Gibbs

Gibbs majored in applied mathematics at the University of Waterloo, graduating in 1988. She received a second bachelor's degree in secondary school education at Western University in 1989,^[1] and became a secondary school mathematics teacher.^[2] Returning to graduate education in statistics at the University of Toronto, she received a master's degree in 1992 and completed her Ph.D. in 1999.^[1] Her doctoral dissertation, Convergence of Markov Chain Monte Carlo Algorithms with Applications to Image Restoration, was supervised by Jeff Rosenthal.^[3]

Next, she became a postdoctoral researcher and then assistant professor at York University.^[2] She returned to the University of Toronto as a lecturer and senior lecturer from 2002 to 2006. In 2006, she became an associate professor (teaching stream), and she was promoted to professor (teaching stream) in 2018,^[1] one of the first people to receive this type of promotion at the University of Toronto.^[2] She was named as the director of the Centre for Teaching Support and Innovation in 2020.^[1][2]

Gibbs was a 2018 3M Teaching Fellow.^[4] She became an Elected Member of the International Statistical Institute in 2023,^[5] and was the 2023 recipient of the Distinguished Educator Award of the Statistical Society of Canada.^[2]

• Gibbs, Alison L.; Su, Francis Edward (December 2002), "On choosing and bounding probability metrics", International Statistical Review, 70 (3): 419–435, arXiv:math/0209021, Bibcode:2002ISRv...70..419G, doi:10.1111/j.1751-5823.2002.tb00178.x
• Gibbs, Alison L. (December 2004), "Convergence in the Wasserstein metric for Markov chain Monte Carlo algorithms with applications to image restoration", Stochastic Models, 20 (4): 473–492, doi:10.1081/stm-200033117
• Gil, Einat; Gibbs, Alison L. (November 2017), "Promoting modeling and covariational reasoning among secondary school students in the context of big data", Statistics Education Research Journal, 16 (2): 163–190, doi:10.52041/Serj.V16I2.189