Alison Gibbs is a Professor, Teaching Stream in the Department of Statistical Sciences at the University of Toronto. She is interested in the teaching of Statistics and Data Science at all levels, from primary through graduate school. She is engaged in various projects related to data science in schools, online learning, inverted classrooms, statistics curriculum development, achieving adaptive expertise, and the development of professional identity.
Alison completed a BMath in Applied Mathematics at the University of Waterloo and a BEd at the University of Western Ontario. She taught secondary school mathematics before pursuing graduate studies in statistics at the University of Toronto, completing an MSc and a PhD. She held Post-Doctoral and Assistant Professor positions at York University, before returning to the University of Toronto as a faculty member in 2002.
Alison received the Faculty of Arts and Science Outstanding Teaching Award in 2012, the University of Toronto President’s Teaching Award in 2016, and a 3M National Teaching Fellowship in 2018.