Statistics Ph.D. Student at the University of Wisconsin–Madison
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Email: stmoen [at] wisc [dot] edu
I am a statistician working on problems related to extreme value theory, time series, and statistical consulting, with applications in finance, astronomy, and agricultural sciences. My work focuses on helping decision makers by developing models that are interpretable, highly accurate, and practical for online settings.
One example is a model that predicts extreme solar flares using a nonlinear model that features autoregressive information expressed in latent variables (see [6] below)
Another is a nonlinear AR model that quantifies “bad days” in stock markets using lagged exogenous variables combined using linear equations determined using PCA at the forecast origin (see [7])
I am also working for the Statistical Consulting Group at UW-Madison, where I assist clients from fields such as Botany, Soil Science, Entomology, Bacteriology, Geography, and Dairy Science in all aspects of the research process, including experimental design, power analysis, data analysis, manuscript preparation, and responding to reviewer comments in the peer review process (see [1], [2], [3], [4], [8])
Ph.D. Statistics (University of Wisconsin–Madison, Expected 2026)
Advisor: Dr. Zhengjun Zhang
M.A. Mathematics (University of Wisconsin–Madison, 2023)
M.S. Statistics (The University of Chicago, 2020)
Advisor: Dr. Wei Biao Wu
B.A. Statistics, Mathematical Economic Analysis (Rice University, 2014)
CFA® charterholder, CFA Institute (Issued Aug. 2022)
[4] Webster, H., Vang, A., Frizzarini, W., Cunha, T., Fricke, H., Moen, S., League, L., Lewandowski, L., Hernandez, L. (2025). Comparing the efficacy of serotonin and EGTA on postpartum hypocalcemia. Journal of Dairy Science. 10.3168/jds.2024-25338
[3] Cate, A., Moen, S., & Chen, K. (2024). Bridging digital divides in Wisconsin: an examination of policy efforts and effectiveness over the past five years. Information, Communication & Society, 1-20. https://doi.org/10.1080/1369118X.2024.2420038
[2] Hershberger, S., Shaw, B., Moen, S., Johnson, T., & Gorby, T. (2024). Promoting small-scale maple syrup production on Facebook: A field experiment testing emphasis message frames. Journal of Agriculture, Food Systems, and Community Development, 13(4), 199–224. https://doi.org/10.5304/jafscd.2024.134.012
[1] Zhang, Y., Hartemink, A.E., Vanwalleghem, T., Bonfatti, B.R., Moen, S. (2024). Climate and land use changes explain variation in the A horizon and soil thickness in the United States. Commun Earth Environ 5, 129. https://doi.org/10.1038/s43247-024-01299-6
[5] Moen, B., Moen, S. (2025+). The Effect of Rising Crime on Jordan Timelines in the Provincial Court of Manitoba.
[6] Moen, S., Wang, J., Zhang, Z. (2025+). Modeling Autoregressive Conditional Regional Extremes with Applications to Solar Flare Prediction. Manuscript submitted for publication.
[8] Vazquez-Catoni, A., Moen, S., Holland, L. (2025+). Cranberry fruit rot pathogen presence in cranberry cuttings and young beds from Central and Northern Wisconsin. Manuscript submitted for publication.
[7] Moen, S., Wu, W.B. (2025+). Multivariate CAViaR: An Insightful Approach to Risk Modeling. Manuscript in preparation.
June 2025, "Modeling Autoregressive Conditional Regional Extremes with Applications to Solar Flare Prediction". 14th International Conference on Extreme Value Analysis, Chapel Hill, NC
August 2023, "Multivariate CAViaR: An Insightful Approach to Risk Modeling". Joint Statistical Meetings, Toronto, Canada
June 2023*, "A Look Into Two Statistical Consulting Projects". Research Advances in Agricultural Statistics, Madison, WI
May 2020, "Simultaneous Changepoint Detection in Temperature Data". University Consortium for Geographic Information Science Symposium (online)
*: Invited Lecture
University of Wisconsin–Madison, Department of Statistics (Madison, WI)
Spring 2022, Statistical Methods for Bioscience II (Graduate)
Fall 2021, Statistical Methods for Bioscience I (Graduate)
Spring 2021, Introductory Applied Statistics for Engineers (Undergraduate)
Fall 2020, Introduction to Statistical Methods (Undergraduate)
Appointed as a Teaching Mentor from the College of Letters & Science at UW– Madison in Spring 2022
From the website, an “honor granted to TAs from the College of Letters & Science who have achieved outstanding success as students and teachers”. Led training for new L&S TAs in Sept. ’22 and Jan. ‘23
Received Outstanding Teaching Award from the Department of Statistics at UW–Madison n Spring 2021
Awarded to the top 3 out of 58 Statistics TAs in the 2020-21 Academic Year
University of Wisconsin–Madison (Madison, WI)
Statistical Consultant (June 2022 - August 2023, Aug 2024 - Present)
Terman Group (New York, NY)
Quantitative Researcher (June 2020 - October 2020)
Capital One (Plano, TX)
Senior Business Analyst (July 2014 - August 2018)
YouTube channel with jazz and classical piano recordings