Nathaniel is interested in using data to make decisions, solve problems, and improve processes. Specifically, his research interests lie in methodological development at the intersection of data science and industrial statistics; his publications span topics including experimental design and A/B testing, social network modeling and monitoring, survival and reliability analysis, measurement system analysis, and the development of estimation-based alternatives to traditional hypothesis testing. Nathaniel’s primary appointment is Assistant Professor of Statistics at the University of Waterloo.
- PhD, Statistics, University of Waterloo, 2015
- MMATH, Statistics, University of Waterloo, 2011
- BMATH, Statistics, University of Waterloo, 2010
- Minor, Pure Math and Psychology, University of Waterloo, 2010