Dr. Nathaniel Stevens

Biography

Nathaniel Stevens is an Associate Professor in the Department of Statistics and Actuarial Science at the University of Waterloo, where he also serves as Director of the BMATH BCS Data Science programs. His academic journey includes obtaining degrees in mathematics; BMATH in 2010, MMATH in 2011, and PhD in 2015 from the University of Waterloo. Prior to his current position, Nathaniel held a faculty role at the University of San Francisco, where he was jointly appointed to the Department of Mathematics and Statistics and contributed significantly to the MS in Data Science program. Stevens has been actively involved in data science internships, overseeing over 30 projects that leverage exploratory data analysis, time series analysis, machine learning, and data visualization. His research interests focus on the interplay between data science and industrial statistics, with specific attention to experimental design, A/B testing, and reliability analysis. Nathaniel has received multiple accolades for his contributions to statistical science, including the 2023 ENBIS Young Statistician Award and the ASQ Feigenbaum Medal, further showcasing his commitment to advancing quality improvement in the field. He is passionate about teaching and upholding a respectful and supportive educational environment for students, demonstrated through various teaching awards he has received. Additionally, his work involves developing innovative comparative probability metrics that enhance traditional hypothesis testing.

Research Interests

Experience

Awards