The Department of Statistics and Actuarial Science is a top-tier academic unit among statistical and actuarial science globally. Our community is engaged in topics such as actuarial science, biostatistics, data science, quantitative finance, statistics, & statistics-computing. Our department is home to 70 full-time faculty researching diverse and exciting areas, over 2000 undergraduate students from around the world, and approximately 200 graduate students in master, doctoral, and professional programs.
News
Aukosh Jagannath wins Outstanding Paper award at NeurIPS 2022
Dr. Aukosh Jagannath, assistant professor of Statistics and Actuarial Science and Applied Mathematics at the University of Waterloo, has won a prestigious Outstanding Paper award at NeurIPS 2022.
NeurIPS, short for Neural Information Processing Systems, is the foremost international conference for research on AI and Machine Learning. The conference receives thousands of submissions a year, and of the approximately 20% that are accepted, only a handful are recognized with the Outstanding Paper awards.
A three-pronged approach to helping Indonesia cope with climate change
Prime Minister Justin Trudeau today announced $15 million in funding for the University of Waterloo’s Faculties of Mathematics and Environment to work with Indonesian partners on climate change adaptation and mitigation strategies in the country.
The funding provided by Global Affairs Canada will support the Flood Impacts, Carbon Pricing, and Ecosystem Sustainability (FINCAPES) project. FINCAPES is led by Professor Stefan Steiner in collaboration with Professor David Landriault and Professor Brent Doberstein.
Read the full story on the Waterloo News website.
Department of Statistics and Actuarial Science is pleased to welcome Qinglong Tian as an Assistant Professor
Tian, Qinglong (BEcon (Statistics), 2016, Renmin University of China; Ph.D. (Statistics), 2021, Iowa State University) will be joining the Department of Statistics and Actuarial Science on November 1st, 2022 as an Assistant Professor. Before that, Qinglong Tian was a Research Associate at the University of Wisconsin-Madison. His research interests include reliability, resampling, and transfer learning. His current research focuses on developing statistical methods for data subject to distributional shifts.