Sean is a doctoral candidate at the Wisconsin School of Business, majoring in Marketing in the Quantitative Track. He uses statistical methods to research issues in digital marketing and brand strategy. Sean’s research interests include: estimation in sparse and high-dimensional spaces; machine learning; natural language processing; efficient application of econometrics in big data; Bayesian statistics; digital marketing; measurement and attribution; advertising; brand strategy; public relations.
Prior to joining the program, Sean received a bachelor's degree in Economics from Brigham Young University, and a master's degree in Statistics from the University of Utah. Its anticipated he will graduate in 2021
Haring Symposium (2019) Clutter's Impact on Display Advertising Response
Marketing Science (2017) Moderating Imact of Advertising Clutter on Banner-Ad Effectiveness