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Nathaniel Stevens is an Associate Professor of Statistics at the University of Waterloo, where he serves as the Director of the BMATH and BCS Data Science programs. He was previously positioned at the University of San Francisco, where he held a joint appointment in the Department of Mathematics and Statistics as well as the MS in Data Science program. Nathaniel's research interests focus on the intersection of data science and industrial statistics, with specific attention given to methodological developments in experimental design, process monitoring, and reliability analysis. He has overseen more than 30 undergraduate and graduate level data science internships and has provided professional training and consultancy for over 20 organizations. Nathaniel has published several influential papers and has received numerous awards, including the 2023 ENBIS Young Statistician Award and the ASQ Feigenbaum Medal. His dedication to teaching is evident through several teaching awards and nominations he has garnered for his efforts in fostering student success and providing a high-quality educational experience.
Includes fields like Clinical, Cognitive, Developmental, and Industrial/Organizational Psychology.