David is a Lecturer of Decision Sciences at the Paul College of Business and Economics. David began his professional career in the investment banking division of Houlihan Lokey (HL) in San Francisco. At HL, David focused on mergers and acquisitions in the technology sector. Afterward, David worked in digital marketing for two technology startups. These experiences fueled a strong interest in the power of statistical modelling to inform product design and business decisions, which he further pursued through PhD research at Boston University. David now teaches classes focused on Statistics and Data Science at the University of New Hampshire.
Courses Taught
- ADMN 510: Business Statistics
- DS 809: Time Series Analysis
- PAUL 520: Topics I
Selected Publications
Reynolds, D., & Carvalho, L. (2021). Latent association graph inference for binary transaction data. COMPUTATIONAL STATISTICS & DATA ANALYSIS, 160. doi:10.1016/j.csda.2021.107229
