Positions

Overview

  • Chris Glynn is a data scientist and advisor to industry and government. His research – recently featured in the New York Times, Bloomberg and World Economic Forum – seeks to improve decision-making in dynamic and uncertain environments. He builds Bayesian statistical models and computational algorithms to investigate complex dynamical systems, including the effects of local housing cost increases on homelessness and the brain's mechanism for encoding simultaneous stimuli. He is also a Zillow Research Fellow, collaborating with Zillow on projects at the intersection of data science, housing markets and public policy. Prior to joining the faculty at UNH, Glynn was a postdoctoral fellow in the Department of Statistics at the University of Washington. He earned his Ph.D. in Statistical Science from Duke University.
  • Publications

    Academic Article

    Year Title
    2018 Single neurons may encode simultaneous stimuli by switching between activity patterns.Nature Communications.  9:2715. 2018
    2015 Detailed Anatomical Orientations for Certain Types of Morphometric Measurements Can Be Determined Automatically With Geometric Algorithms.Anatomical Record - Part A Discoveries in Molecular, Cellular, and Evolutionary Biology Anatomical Record.  298:1816-1823. 2015
    2015 A new fully automated approach for aligning and comparing shapes.Anatomical Record - Part A Discoveries in Molecular, Cellular, and Evolutionary Biology Anatomical Record.  298:249-276. 2015
    Bayesian Analysis of Dynamics Linear Topic ModelsBayesian Analysis.  14:53-80.
    Dynamics of Homelessness in Urban AmericaAnnals of Applied Statistics.  13:133-165.

    Article

    Year Title
    2018 Dynamics of Homelessness in Urban America -- GWU 2018
    2017 Dynamics of Homelessness in Urban America -- IISA 2017
    2017 Dynamics of Homelessness in Urban America -- UConn 2017

    Teaching Activities

  • Forecasting Analytics Taught course 2019
  • Business Statistics Taught course 2018
  • Business Statistics Taught course 2018
  • Forecasting Analytics Taught course 2018
  • Forecasting Analytics Taught course 2018
  • Business Statistics Taught course 2017
  • Business Statistics Taught course 2017
  • Education And Training

  • M.S. Statistics, Duke University
  • Ph.D. Statistics, Duke University
  • Full Name

  • Christopher Glynn