Kelly Moran

  • Program Years: 2016-2020
  • Academic Institution: Duke University
  • Field of Study: Statistics
  • Academic Advisor: Amy Herring
  • Practicum(s):
    Los Alamos National Laboratory (2017)
    Los Alamos National Laboratory (2018)
  • Degree(s):
    PhD Statistical Science, Duke University, 2020
    MS Statistical Science, Duke University, 2019
    BS Mathematics, Clemson University, 2015

Current Status

  • Research Area: Statistical Science


Moran KR, Wheeler MW. Advances in Bayesian Factor Modeling and Scalable Gaussian Process Regression. Undergoing revisions for the Journal of the Royal Statistical Society: Series B.

Moran KR, Dunson D, Herring AH (2021). Bayesian joint modeling of chemical structure and dose response curves. Annals of Applied Statistics.

Gibson GC, Moran KR, Reich NG, Osthus D (2021). Improving probabilistic infectious disease forecasting through coherence. PLOS Computational Biology, 17(1), e1007623.

Osthus D, Moran KR. Multiscale influenza forecasting. Nature Communications, 12(1), 1-11.

Moran KR, Turner EL, Dunson D, Herring AH. Bayesian hierarchical factor regression models to infer cause of death from verbal autopsy data. Journal of the Royal Statistical Society: Series C,

Biswas A, Moran KR, Lawrence E, Ahrens J (2018). Visualization of Uncertainty for Computationally Intensive Simulations Using High Fidelity Emulators. IEEE Vis (Scivis Short papers), Berlin, Germany.

Walters DJ, Biswas A, Lawrence EC, Francom DC, Luscher DJ, Fredenburg DA, Moran KR, Sweeney CM, Sandberg RL, Ahrens JP, Bolme CA (2018). Bayesian calibration of strength parameters using hydrocode simulations of symmetric impact shock experiments of Al-5083. Journal of Applied Physics.

Priedhorsky R, Osthus D, Daughton AR, Moran KR, Culotta A (2018). Deceptiveness of internet data for disease surveillance. arXiv:1711.06241 [v2].

Priedhorsky R, Osthus D, Daughton AR, Moran KR, Generous N, Fairchild G, Del Valle SY (2017, February). Measuring Global Disease with Wikipedia: Success, Failure, and a Research Agenda. In Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing (pp. 1812-1834). ACM.

Moran KR, Fairchild G, Generous N, Hickmann K, Osthus D, Priedhorsky R, Del Valle SY (2016). Epidemic forecasting is messier than weather forecasting: The role of human behavior and internet data streams in epidemic forecast. The Journal of Infectious Diseases, 214(suppl_4), S404-S408.

Moran KR, Del Valle SY (2016) A Meta-Analysis of the Association between Gender and Protective Behaviors in Response to Respiratory Epidemics and Pandemics. PLoS ONE 11(10): e0164541. doi:10.1371/journal.pone.0164541

Moran KR (2011) Modeling, Simulation, and Inverse Problems Involving Sexually Transmitted Diseases. Mathematical Sciences Departmental Honors Collection 2015, Clemson University, Clemson, SC

Marraro M, Moran KR, Roberson B (2014) An Analysis of the Coherence Between Experiential and Behavioral Response During Ambiguous Emotional Stimuli. Summer Research Collection 2014, National Institute for Mathematical and Biological Synthesis, Knoxville, TN


Duke Global Health Institute Doctoral Scholar
Duke University Scholar
James B. Duke Fellow
Gertrude M. Cox Scholarship Honorable Mention
Los Alamos National Laboratory Outstanding Student Award 2016
Clemson National Scholar (granted to approx. ten students per incoming class), 2011-2015
Calhoun Honors College, General Honors
Department of Mathematical Sciences, Departmental Honors
Clemson University, Summa Cum Laude
President's List, Clemson University, 2011, 2012, 2013, 2014, 2015
Fulbright Research Grant Finalist, 2015
College of Engineering and Science Outstanding Senior in the Sciences, 2015
College of Engineering and Science Outstanding Junior in the Sciences, 2014
Sue King Dunkle Award for Outstanding Sophomore in Mathematical Sciences, 2013
Mathematical Sciences Freshman Award, 2012
National Merit Scholar, 2011