After receiving my bachelor’s degree in Mathematics from McGill University, I earned a master’s and PhD degree in Statistics from the University of Waterloo.
Prior to joining Laurier, I worked as a consultant with federal government ministries, Alberta Treasury Branches, and as an analyst in the Financial Markets Department at the Bank of Canada.
From 2002 until 2016, I was a tenured associate professor in the Department of Statistics and Actuarial Science at Western University, jointly appointed to the finance area at the Richard Ivey School of Business.
In addition, I was a founding member of the Committee to Establish the National Institute of Finance, leading to the creation of the U.S. Office of Financial Research.
I have a varied research program that focuses on problems lying at the intersection of finance, actuarial science, risk management, operations research, statistics, simulation, economics, and law. Particular interest lies in the application of stochastic models in finance and financial regulations, and in problems with public policy implications.
My works include investigations in personal finance, corporate finance, financial stability, securities class actions, risk management, and derivatives.
One line of research has focused on enhanced Monte Carlo methods for pricing and hedging complex financial derivatives while another line of research centers on calculating damages in secondary market securities class actions.
I have supervised students at all levels including undergraduate research assistants (e.g., NSERC USRA), MSc and PhD students. I supervise PhD students in the Department of Statistics and Actuarial Science at Western University.
Most of my former graduate students are gainfully employed in various positions in the financial sector and many were able to get hands-on experience through internships and other extra-curricular training opportunities during their graduate education.
We see you are accessing our website on IE8. We recommend you view in Chrome, Safari, Firefox or IE9+ instead.Ã