My research is largely inspired by the practical needs in the insurance industry. The majority of my research has focused on developing and applying cutting-edge statistics and machine learning algorithms, as well as economic theories on pivotal actuarial problems, including the measurement, pricing, and management of longevity risk, health risk, automobile risk, and climate risk, and agriculture risk. My research is sponsored by both the Social Sciences and Humanities Research Council (SSHRC) and the Natural Sciences and Engineering Research Council of Canada (NSERC), along with many other institutions. I have many publications in top-tier insurance, actuarial science, and demography journals. I received the 2018 Bob Alting von Geusau Prize for the best paper published in ASTIN Bulletin with a Financial Risk or Enterprise Risk Management focus. I am a fellow of the Society of Actuaries and an associate fellow of the Canadian Institute of Actuaries.
My personal webpage.
Guide for potential graduate students:
What qualities are you looking for in a graduate student?
The ones with a solid quantitative background.
How would you describe your mentoring style?
I will work closely with you on the topics that you are interested in.