Brennan Bean

Mathematics and Statistics

Assistant Professor


Brennan Bean

Contact Information

Office Location: Animal Science (ANSC) 202
Phone: 435-797-4130
Email: brennan.bean@usu.edu

Educational Background

PhD, Mathematical Sciences, Utah State University, 2019
Interval-Valued Kriging Models with Applications in Design Ground Snow Load Prediction
BS, Applied Mathematics, Brigham Young University - Idaho, 2014

Biography

Brennan is an applied statistician with research interests in engineering, climate, and agriculture/natural resources. Mostly, Brennan loves solving data problems and getting students involved in the process.

Teaching Interests

Data Science, Computational Statistics, Spatial Statistics

Research Interests

Spatial Statistics, Computational Statistics, Statistical Visualization

Awards

Master Teacher Certificate, 2023

USU Empowering Teaching Excellence

Undergraduate Research Mentor of the Year, 2022

USU Department of Mathematics and Statistics

Teaching Scholar Certificate, 2021

USU Empowering Teaching Excellence

Undergraduate Research Mentor of the Year, 2020

USU Department of Mathematics and Statistics


Publications | Journal Articles

Academic Journal

  • Taylor, R., Bean, B., Maguire, M., Al-Rubaye, S., Al-Bayati, M., (2023). Simplified models for composite elastic behavior of precast insulated wall panels. PCI Journal, doi: https://doi.org/10.15554/pcij68.4-03
  • Carrell, J.D, Phinney, A.L, Mueller, K., Bean, B., Multiple-Scale Ecological Niche Modeling Exhibits Varying Climate Change Impacts on Habitat Suitability of Madrean Pine-Oak Trees. Frontiers in Ecology and Evolution, doi: https://doi.org/10.3389/fevo.2023.1086062
  • Bean, B., Sun, Y., Maguire, M., (2022). Interval-Valued Kriging Models for Geostatistical Mapping with Imprecise Inputs. International Journal of Approximate Reasoning, 140, 31-51.
  • Phillips, B.N, Fleming, A.R, Bean, B., Umucu, E., Lee, B., Roundtree, S., Grenawalt, T., (2022). Relations among gratitude, adaptation to disability, and flourishing among adults with disabilities: A longitudinal mediation model. . , 67:4, 546–555. doi: https://doi.org/10.1037/rep0000448
  • Al-Rubaye, S., Maguire, M., Bean, B., (2022). Design Ground Snow Loads: Historical Perspective and State of the Art. Journal of Structural Engineering
  • Borhara, K., Pokharel, B., Bean, B., Deng, L., Wang, S., (2020). On Tanzania’s Precipitation Climatology, Variability, and Future Projection. Climate, 34.
  • Bean, B., Maguire, M., Sun, Y., (2019). Comparing Design Ground Snow Load Prediction in Utah and Idaho. Journal of Cold Regions Engineering, 33:3, 04019010.
  • Bean, B., Maguire, M., Sun, Y., (2017). Predicting Utah ground snow loads with PRISM. Journal of Structural Engineering, 143:9, 04017126.

Public or Trade Journal

  • Maguire, M., Bean, B., Harris, J.R, Liel, A., Russell, S., (2022). Ground Snow Loads for ASCE 7-22 - What has Changed and Why?. STRUCTURE Magazine *

An asterisk (*) at the end of a publication indicates that it has not been peer-reviewed.

Publications | Technical Reports

Research Reports

    Other Reports

    • Bean, B., (2018). The Utah Snow Load Study. Utah State University *

    An asterisk (*) at the end of a publication indicates that it has not been peer-reviewed.

    Publications | Other

    Magazine/Trade Publications

      Other

      • Bean, B., (2019). Interval-Valued Kriging Models with Applications in Design Ground Snow Load Prediction. *

      An asterisk (*) at the end of a publication indicates that it has not been peer-reviewed.

      Teaching

      STAT 1080 - Foundations of Data Science (QL), Fall 2023
      STAT 5810 - Topics in Statistics, Fall 2023
      STAT 5555, 6555 - Advanced R Programming for Data Science, Spring 2023
      STAT 1080 - Foundations of Data Science, Spring 2023
      STAT 1080 - Foundations of Data Science, Fall 2022
      STAT 5550 - Statistical Visualization I, Fall 2022
      STAT 5410, 6410 - Applied Spatial Statistics, Spring 2022
      STAT 6550 - Statistical Computing, Fall 2021
      STAT 5100 - Modern Regression Methods (CI/QI), Spring 2021
      STAT 5100 - Modern Regression Methods (CI/QI), Fall 2020
      STAT 5100 - Modern Regression Methods (CI/QI), Spring 2020
      STAT 5100 - Modern Regression Methods (CI/QI), Fall 2019
      STAT 1040 - Introduction to Statistics, Spring 2019

      Graduate Students Mentored

      Ruth Taylor, Mathematics & Statistics, November 2023
      Emma Watts, Mathematics & Statistics, June 2023
      Gideon Parry, Mathematics & Statistics, April 2023
      Kenneth Pomeyie, Mathematics & Statistics, April 2021
      Logan Schneider, Mathematics & Statistics, April 2021 - July 2023
      Samuel Haycock, Mathematics & Statistics, May 2022 - June 2023
      Jadon Wagstaff, Mathematics & Statistics, January 2020 - May 2021