Speed identified as the best predictor of car crashes
Speeding is the riskiest kind of aggressive driving, according to a unique analysis of data from on-board devices in vehicles.
Researchers at the University of Waterloo examined data from 28 million trips for possible links between four bad driving behaviours – speeding, hard braking, hard acceleration and hard cornering – and the likelihood of crashes.
Aukosh Jagannath holds a PhD in Mathematics from the Courant Institute at New York University from 2016. Since then he has been an NSF mathematical sciences postdoctoral fellow at the University of Toronto and Harvard University as well as a Benjamin Pierce Fellow at Harvard University. His research interests are in probability and analysis and their applications to statistical physics, combinatorial optimization, the mathematics of data science, and high-dimensional statistics. Aukosh will help develop a stronger theoretical foundation for data science and expand our links with other departments and faculties at Waterloo.
The Department of Statistics and Actuarial Science is extremely proud to announce that
Fangda Liu holds a PhD in Actuarial Science from the University of Waterloo from 2015. She was then an assistant professor at the Central University of Finance and Economics for 3 years, and joins us from an assistant professor position in the College of Business at Georgia State University. Her research interests include reinsurance/insurance, risk measures, risk sharing and market equilibria. Her work provides a good balance of theory and applications and she will strengthen the actuarial science group within our department.
The University of Waterloo and the

The Department of Statistics and Actuarial Science is pleased to announce Chao Qi (George) Li as the winner of the Samuel Eckler Medal in Actuarial Science.

The Department of Statistics and Actuarial Science is proud to announce the winners of the 2019 Teaching Award goes to