Professor Tim Robinson

Department of Mathematics and Statistics

Professor of Statistics

Contact Information

(307) 766-2497tjrobin@uwyo.edu

Ross Hall 335

Photo of Tim Robinson

Education

B.S. James Madison University 1989; Math/Psychology
M.S. Virginia Polytechnic Institute 1994; Statistics
Ph.D. Virginia Polytechnic Institute 1997; Statistics

 

About Dr. Robinson

Tim has been married to his wife for 27 years and they have raised four children in Laramie. His statistical expertise is in data science, hierarchical regression modeling, sampling design, experimental design, statistics and data science education and applications in ecology, medicine, and sport. He has been fortunate to work with collaborators in a variety of fields and these collaborations have led to his nearly 75 peer reviewed publications. He is a Fellow of the American Statistical Association and the American Society for Quality. In June, 2025, he received a Fulbright Award to work with the University of Zambia School of Medicine on data science and biostatistics curriculum development, statistical consulting, a World Bank proposal for the advancement of data science and biostatistics in Sub-Saharan Africa.  From 2013-2021, Tim served as the Foundations Dean for the Wyoming WWAMI Medical Education Program where he and his team guided Wyoming WWAMI through the most significant curriculum overhaul in the 79 year history of the University of Washington School of Medicine. In addition to his academic appointment at ĂÛŃżTV, Tim also has appointments with the University of Washington School of Medicine and the University of Zambia School of Medicine. To date, he has been fortunate to have mentored over 30 PhD and MS projects. Outside of statistics, Tim enjoys teaching apologetics (explaining what Christians believe; defending Christian beliefs against objections and misunderstandings; and showing why faith in Jesus is relevant and trustworthy), spending time with family and friends, elk hunting and fishing.

Publications Since 2020:

  1. Smith, S., Farra, S., Warren, C., Lair, A., Robinson, T., Wischgoll, T., Meenon, S. (2024). “Augmented Reality in Nursing Education”, Wyoming Nursing News, Vol. 20, 8-13, Publishing Concepts Inc.
  2. Miller K.E., Walters J., Bautista J., Smith, B., Robinson, T.J., Schmitt, E., Bruns, D., Schlader, Z., Johnson, E. (2024). “Validity and Test-Retest Reliability of a Hand-Held Ultrasound Device in Measuring Kidney Metrics in Healthy Young Adults”, Journal of Diagnostic Medical Sonography, doi:10.1177/87564793241297708.
  3. Lai, M., Wulff, S.S., Cao, Y., Robinson, T.J., Rajapaksha, R. (2024). “Temporal Cross-Validation in Forecasting: A Case Study of COVID-19 Incidence Using Wastewater Data”, Quality&Reliability Engineering International, DOI: 10.1002/qre.3686.
  4. Burkholder, E.N., Stephenson, J., Hegg, S., Gustine, D., Robinson, T., Holbrook, J.D. (2024). “How does anthropogenic food influence the trophic ecology of Rocky Mountain Red Fox?”, Journal of Mammalogy, https://doi.org/10.1093/jmammal/gyae108.
  5. Curran, M.F., Allison, J., Robinson, T.J., Robertson, B.L., Knudson, A.H., Bott, B.M.M., Bower, S., Saleh, B.M. (2024), “Insect Abundance and Richness Response to Ecological Reclamation on Well Pads 5–12 Years into Succession in a Semi-Arid Natural Gas Field.”, Diversity, 16, 324. https://doi.org/10.3390/d16060324.
  6. Curran, M.F., Sorenson, J.R., and Robinson, T.J. (2024). “Soil Stockpile Age Does Not Impact Vegetation Establishment in a Cold, Arid Natural Gas Field”, Reclamation Sciences, 1:41-47 (http://doi.org/10.21000/RCSC-202300004).
  7. LaSharr, T. N., Jakopak, R. P., BĂ„rdsen, B.-J., Robinson, T. J., Dwinnell, S. P. H., Randall, J., Kaiser, R. C., Thonhoff, M., Scurlock, B., Fieseler, T., Hymas, N., & Monteith, K. L. (2023). “Shifts in risk sensitivity and resource availability alter fat stores for a large mammal following extreme winter conditions”, Functional Ecology, Vol. 37, 3052–3063. https://doi.org/10.1111/1365-2435.14440
  8. Lai, M., Wulff,, S.S., Cao, Y., Robinson, T.J., Rajapaksha, R. (2023), “An interpretable time series machine learning method for varying forecast and nowcast lengths in wastewater-based epidemiology”, MethodsX, Vol. 11, https://doi.org/10.1016/j.mex.2023.102382.
  9. Lai, M., Cao, Y., Wulff, S.S., Robinson, T.J., McGuire, A., Bisha, B. (2023) “A time series based machine learning strategy for wastewater-based forecasting and nowcasting of COVID-19 dynamics”, Science of The Total Environment, https://doi.org/10.1016/j.scitotenv.2023.165105.
  10. Roznere I, An V, Robinson T, Banda JA, Watters GT (2023) “Contaminants of emerging concern in the Maumee River and their effects on freshwater mussel physiology”, PLoS ONE, Vol. 18(2): https://doi.org/10.1371/journal.pone.0280382.
  11. Wagler, B. L., Smiley, R. A., Courtemanch, A. B., Lutz, D., McWhirter, D., Brimeyer, D., Hnilicka, P., Robinson, T. J., and Monteith, K. L. (2023) “Implications of forage quality for population recovery of bighorn sheep following a pneumonia epizootic”, Journal of Wildlife Management, e22452. https://doi.org/10.1002/jwmg.22452.
  12. Curran, M.F.; Sorenson, J.R.; Craft, Z.A.; Crow, T.M.; Robinson, T.J.; Stahl, P.D. (2023) “Ecological Restoration Practices within a Semi-arid Natural Gas Field Improve Insect Abundance and Diversity during Early and Late Growing Season”, Animals, Vol. 13,134. https://doi.org/10.3390/ani13010134.
  13. Smiley, R.A., LaSharr, T.N., Abernathy, H.N., Shakeri, Y.N., Levine, R.L., Rankins, S.T., Jakopak, R.P., Rafferty, R.T., Kolek, J.T., Wagler, B.L., Dwinnell, S.P.H., Robinson, T.J., Randall, J.E., Kaiser, R.C., Thonoff, M., Scurlock, B., Fieseler, T., Fralick, G.L., Monteith, K.L. (2022), “Biomarkers of Animal Nutrition: From Seasonal to Lifetime Indicators of Environmental Conditions”, Life (Basel), Vol. 12, https://doi.org/10.3390/life12030375.
  14. Curran, M.F., Robinson, T.J., Guernsey, P., Sorenson, J., Crow, T.M., Smith, D.I., Stahl, P.D. (2022), “Insect Abundance and Diversity Respond Favorably to Vegetation Communities on Interim Reclamation Sites in a Semi-Arid Natural Gas Field”, Land, Vol. 11, https://doi.org/10.3390/land11040527.
  15. Shang, J., Robinson, T.J., and Wulff, S.S. (2021), “Goodness-of-Fit Tests in Logistic Regression with Continuous Covariates”, Journal of Modern Applied Statistical Methods.
  16. Jennings-Gaines, J.E., Edwards, W.H., and Robinson, T. (2021), “Determining Antibody Retention in Hemolyzed, Bacterially Contaminated, and Nobuto Filter Paper Derived Serum Utlizing Two Brucella abortus Fluorescence Polarization Assays”, Journal of Wildlife Diseases, Vol. 57, pp. 386-392.
  17. Robinson, T.J., Giles, R.C., and Rajapakshage, R.U. (2020), “Discussion of ‘Experiences with big data: Accounts from a data scientist’s perspective”, Quality Engineering, Vol. 32, pp. 543-549.
  18. Zeybek, M., Koksoy, O., and Robinson, T.J. (2020), “A Dual-Response Surface Approach to Gamma Robust Design”, Quality and Reliability Engineering International, Vol. 36, pp. 315-327.
  19. Banda, J.A, Gefell, D., An, V., Bellamy, A., Biesinger, Z., Boase, J., Chiotti, J., Gorsky, D., Robinson, T., Schlueter, S., Withers, J., and Hummel, S.L. (2020), “Characterization of pharmaceuticals, personal care products, and polybrominated diphenyl ethers in lake sturgeon serum and gametes”, Environmental Pollution, 266(Pt 1):115051DOI: 10.1016/j.envpol.2020.115051.
  20. Curran, M., Summerfield, K., Alexander, E.J., Lanning, S., Schwyter, A., Torres, M., Schell, S., Vaughan, K., Robinson, T., Smith, D. (2020), “Use of 3-dimensional videography as a non-lethal way to improve visual insect sampling”, Land, Vol. 9, pp. 1-10.
  21. Curran, M.F., Hodza, P., Cox, S.E., Lanning, S.G., Robertson, B.L., Robinson, T.J., Stahl,P.D. (2020), “Ground-level unmanned aerial system imagery coupled with spatially balanced sampling and route optimization to monitor rangeland vegetation”, JoVE (Journal of Vizualized Experiments), Issue 160, pp. e61052, doi:10.3791/61052.
  22. Waggy, E., Brown, K., Nair, S., Robinson, T., Schmitt, E., Bruns, D. Thomas, D. (2020), “Sex differences in cardiac AMP-activated protein kinase following exhaustive exercise”, Sports Medicine International Open, Vol. 4., pp. E13-E18.
  23. Curran, M.F., Cox, S.E., Robinson, T.J., Robertson, B.L., Strom, C.F., and Stahl, P.D. (2020), “Combining Spatially Balanced Sampling, Route Optimization and Remote  Sensing to Assess Biodiversity Response to Reclamation Practices on Semi-Arid Well  Pads”, Biodiversity, pp. 1-11, DOI 10.1080/14888386.2020.1733085.

Grants and funded projects:

  1. Robinson, T. (2025-2026) “Using Large Language Models for Improving Chatbot Health Queries”, $70,000, National Institute of General Medical Sciences.
  2. Robinson, T. (2024-2025) “Improving Research Output by Enhancing Statistical Modelling (FSP-P009917) at the University of Zambia School of Medicine”, Lusaka, Zambia, June-July, 2025.
  3. Spiller, B., Robinson, T.J., Boostrum, I., Burns, D., Petit, R. (2024) “Long-read assembly systematic optimization using machine learning for improved whole genome sequencing interrogation (LASSO-AI)”, $12,000, University of Wyoming and Cardiff University.
  4. Booth, T., Robinson, T.J., Likins, J., Norton, J., (2023-2024), “Riparian Soil Organic Carbon: Detecting Change and Defining Monitoring Efficiency”, $26,000, Bureau of Land Management.
  5. Robinson, T.J. and Wulff, S.S. (2021-2025) “Data Science Support for Analysis of SARS-CoV-2 Data”, $659,000, Wyoming Department of Health.