Positions

Overview

  • 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.
  • Selected Publications

    Academic Article

    Year Title
    2021 Latent association graph inference for binary transaction dataComputational Statistics and Data Analysis.  160:107229-107229. 2021

    Teaching Activities

  • Business Statistics Taught course 2023
  • Business Statistics Taught course 2023
  • Business Statistics Taught course 2023
  • Topics I/Artifex Taught course 2023
  • Business Statistics Taught course 2022
  • Business Statistics Taught course 2022
  • Business Statistics Taught course 2022
  • Topics I/Artifex Taught course 2022
  • Business Statistics Taught course 2022
  • Business Statistics Taught course 2022
  • Business Statistics Taught course 2022
  • Topics I/Artifex Taught course 2022
  • Business Statistics Taught course 2021
  • Business Statistics Taught course 2021
  • Business Statistics Taught course 2021
  • Topics I/Artifex Taught course 2021
  • Education And Training

  • B.A., Harvard University
  • M.S. Statistics, University of Michigan
  • Ph.D. Statistics, Boston University
  • Full Name

  • David Reynolds