Nathaniel Stevens

From 2015-2018 Nathaniel held a faculty position in the Department of Mathematics and Statistics at the University of San Francisco (USF) where he served as Program Director for the undergraduate data science program. Prior to this, Nathaniel earned BMATH (2010), MMATH (2011) and Ph.D. (2015) degrees in Statistics from the University of Waterloo.

During his career, Nathaniel has also worked as a consultant and instructor within USF's Data Institute and UW's Business and Industrial Statistics Research Group (BISRG). Nathaniel is currently the Director of BISRG. In these capacities he has provided professional training and worked on several projects resulting in collaborations with 20+ organizations.

He has also overseen 30+ undergraduate and graduate level data science internships in exploratory data analysis, time series analysis, machine learning, A/B testing and data visualization.

Nathaniel was the recipient of the 2020 ASQ LLyod Nelson Award for the paper title "Design and Analysis of Confirmation Experiments" which was deemed to be the paper appearing in the Journal of Quality Technology with the greatest immediate impact to practitioners . His talk "Comparing Two Kaplan-Meier Curves with the Probability of Agreement" was awarded the 2019 Shewall Award for best talk at the American Society for Quality's Fall Technical Conference. He was also the recipient of the 2017-2018 Best Reliability Paper in Quality Engineering for the paper titled "Quantifying Similarity in Reliability Surfaces Using the Probability of Agreement".