Victor Veitch, PhD graduate from the Department of Statistical Sciences at the University of Toronto, has accepted a tenure track position in the Department of Statistics at the University of Chicago.
During his time at U of T, Victor worked on models and estimation for sparse random graph. Victor's dissertation later received the Pierre Robillard Award, an honor bestowed by the Statistical Society of Canada in recognition of the top statistics or probability dissertation in Canada that year.
After graduating, Victor received an NSERC postdoctoral fellowship and was named a Distinguished Postdoctoral Researcher at the Columbia University. During his postdoc, Victor pivoted to working at the intersection of machine learning and causal inference. At the University of Chicago, he'll play an important role helping shape their nascent data science initiative.
The Department of Statistics at the University of Toronto continues to produce outstanding graduates who go on to have rewarding careers in academia and beyond, locally and internationally. We are proud of Victor’s accomplishments and we look forward to following his exciting next career step with the University of Chicago.
To learn more about Victor's career path, his research, current work, and background, please visit Victor Veitch's Alumni Profile on our website.