Alison Gibbs
From Wikipedia, the free encyclopedia
Alison Lee Gibbs is a Canadian statistician and statistics educator. She directs the Centre for Teaching Support and Innovation at the University of Toronto, where she is a professor (teaching stream).[1]
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]
Recognition
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]
