Date: Friday, October 25, 2024
Time: 12:00–1:00 p.m. Atlantic time
Location: MULH2032 (Mulroney Hall), 4130 University Avenue, Antigonish, Nova Scotia, Canada B2G 2W5
Actuarial science is a discipline which draws on the mathematics of probability and statistics to assess financial risks in the field of insurance. With the growing availability of data, actuaries are continuously updating their modelling frameworks to improve the way they assess risk. This seminar will introduce some of the data-driven approaches that can be used to address real-world actuarial problems and demonstrate how traditional methods can be updated to better prepare actuaries to make informed decisions while modelling future trends.
The talk will be presented by Kyran Cupido, an Assistant Professor in the Department of Mathematics and Statistics at St. Francis Xavier University. It’s the second event in the Atlantic Canada Data Science Tour, a hybrid seminar series geared toward upper-level undergraduates in statistics or computer science programs. The host will be Joanna Mills Flemming, Professor in the Department of Mathematics and Statistics and Associate Dean of Graduate and Global Relations at Dalhousie University. Joanna is also the Regional Director of CANSSI Atlantic.
We invite you to join us in person or online! (We’ll send you the Zoom link when you register.)
Kyran Cupido is an Assistant Professor in the Department of Mathematics and Statistics at St. Francis Xavier University in Antigonish, Nova Scotia. He completed a PhD in Statistics at Arizona State University, where he specialized in actuarial science. His research interests include geospatial analysis, spatial regression modelling, and data science, with a particular focus on the actuarial domains of longevity risk and property and casualty (P&C) insurance.