I am a Ph.D. Candidate in Statistics at the University of Wisconsin–Madison working with Zhengjun Zhang and Jessi Cisewski-Kehe. My current research intersects extreme value theory and time-dependent data, with applications to finance and astronomy. My private sector risk management experience informs my research, and enabled me to become a CFA® Charterholder. My research has been supported through a fellowship from the Department of Statistics at UW–Madison and travel grants from the American Statistical Association and the Wisconsin Alumni Research Foundation. 

Recent research projects include:

• • A generalized extreme value model with dynamic scale and shape parameters (provably stationary and ergodic under mild regularity conditions) and useful in solar flare forecasting (accepted at The Annals of Applied Statistics and presented at both the 14th International Conference on Extreme Value Analysis and the Joint Statistical Meetings)

  • A dynamic generalized extreme value model useful in settings replete with missing data with applications to exoplanet detection (presented at both the Symposium on Data Science & Statistics and the ASA Midwest Regional Conference)

  • Collaborations with scientists published in journals such as Communications Earth & Environment, Information, Communication & Society, The Journal of Dairy Science, and Plant Pathology

I have taught both undergraduate and graduate students, winning an Outstanding Teaching Award from the Department of Statistics and a Teaching Mentor honor from the College of Letters & Science.

CV | ORCiD | Google Scholar | LinkedIn | GitHub

Email: stmoen [at] wisc [dot] edu

• Ph.D. Statistics (University of Wisconsin–Madison, Expected 2027)

  • Advisors: Zhengjun Zhang, Jessi Cisewski-Kehe

  • Dissertation Committee:  Zhengjun Zhang, Jessi Cisewski-Kehe, Chris Geoga, Alejandra Quintos

• M.A. Mathematics (University of Wisconsin–Madison, 2023)

• M.S. Statistics (The University of Chicago, 2020)

  • Advisor: Wei Biao Wu

• B.A. Statistics, Mathematical Economic Analysis (Rice University, 2014)

• CFA® charterholder, CFA Institute (Issued August 2022)

• University of Wisconsin–Madison (Madison, WI)

  • Project Assistant in the Statistical Consulting Group (June 2022–August 2023, August 2024–May 2026)

• Terman Group (New York, NY)

  • Quantitative Researcher (June 2020–October 2020)

• Capital One (Plano, TX)

  • Senior Business Analyst (July 2014–August 2018)

Peer-Reviewed Publications

• Moen, S., Wang, J., & Zhang, Z. (accepted). Modeling Autoregressive Conditional Regional Extremes with Applications to Solar Flare Onset Predictions. The Annals of Applied Statistics.

• Shaw, B., Moen, S., van Swol, L., Dai, I., Jeninga, A. J., & Dehnert, G. (in press). Identifying effective message frames for communicating about PFAS contamination in drinking water: A message testing field study. Journal of Environmental Health.

• Vazquez-Catoni, A. M., Moen, S., and Holland, L. A. (2026). Cranberry Fungal Endophyte Presence in Cranberry Propagative Cuttings and Young Plantings From Central and Northern Wisconsin. Plant Pathology, 75(5):e70287. https://doi.org/10.1111/ppa.70287

• Terris, E. E., Verkoulen, S. M., Groves, R. L., Moen, S., Schoville, S. D., Weissner, M., & Toprak, U. (2026). Expression and RNAi characterization of neuropeptides and signaling pathways underlying developmental regulation in the Colorado potato beetle. Frontiers in Insect Science, 6. https://doi.org/10.3389/finsc.2026.1862257

• Moen, B., & Moen, S. (2025). Changing crime in Manitoba: Its impact on the Provincial Court. The Manitoba Law Journal. Advance online publication. https://themanitobalawjournal.com/wp-content/uploads/articles/MLJ_48%20(Pre-print).6/486-changing-crime.pdf

• Webster, H. H., Vang, A. L., Frizzarini, W. S., Cunha, T. O., Fricke, H. P., Moen, S. T., League, L. M., Lewandowski, L. R., & Hernandez, L. L. (2025). Comparing the efficacy of serotonin and EGTA on postpartum hypocalcemia. Journal of Dairy Science, 108(3), 2964-2980. https://doi.org/10.3168/jds.2024-25338

• Cate, A.*, Moen, S.*, & Chen, K.* (2025). Bridging digital divides in Wisconsin: an examination of policy efforts and effectiveness over the past five years. Information, Communication & Society, 28(12), 2191–2210. https://doi.org/10.1080/1369118X.2024.2420038

*Equal contribution.

• 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

• 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

Under Review

• Dai, I., van Swol, L. M., Shaw, B. R., Moen, S., Thomas, M., Carvajal, C., & Dehnert, G. K. (2026). Communicating PFAS risk to Latino and Spanish-speaking communities: Collective efficacy and effective message framing. Manuscript submitted for publication.

In Preparation

• Moen, S.*, Salzer, J. M.*, Cisewski-Kehe, J., & Zhang, Z. (2026+). I-ACRE: An Autoregressive Conditional Extremes Model for Incomplete Panel Data with Applications in Exoplanet Detection. Manuscript in preparation. 

*Equal contribution.

• Moen, S., & Wu, W. B. (2026+). Multivariate CAViaR: An Insightful Approach to Risk Modeling. Manuscript in preparation.

• Holland, T., Shaw, B., Xenos, M., Moen, S., & Seifert, J. (2026+). Analyzing Trends of YouTube Video Preview Characteristics on Views in Sustainable Agricultural Videos. Manuscript in preparation.

• Lsoto, D., Moen, S., Park, B., Patz, J., Okello, G., Larson, R. (2026+). Mortality and Morbidity Associated with PM2.5 Exposure Among Kampala, Uganda Residents using Hospital Records and Monitoring Data from 2017 to 2021. Manuscript in preparation.

• Travel Award for ASA Midwest Regional Conference (2026)

• Symposium on Data Science & Statistics – Student & Early Career Scholarship (2026)

• Travel Funding for the 14th International Conference on Extreme Value Analysis (2025)

• Summer Research Fellowship from the Department of Statistics at UW–Madison (2025)

  • Selection was based on a competitive process, which looked at broad department service and a research plan for the summer

• Student Research Grants Competition - Combined Award from the Graduate School at UW–Madison (2023)

  • A highly competitive funding application for students to present their research at a conference

• Teaching Mentor from the College of Letters & Science at UW–Madison (2022)

  • An honor granted to TAs from the College of Letters & Science who have achieved outstanding success as students and teachers

• John J. Bartko Award from the American Statistical Association (2021)

  • Awarded to help promising young statisticians who are enrolled in or have recently completed a master’s degree in statistics or biostatistics

  • Provided registration and travel support to the Conference on Statistical Practice

• Nominee for Early Excellence in Teaching Award (2021)

  • Nominated by the Statistics Department for a UW–Madison campus-wide teaching award for TAs who have taught for fewer than four semesters

• Outstanding Teaching Award from the Department of Statistics at UW–Madison (2021)

  • Awarded to the top 3 out of 58 Statistics TAs in the 2020-21 Academic Year

• CFA Society Madison Exam Scholarship (2021)

  • Awarded to cover CFA Level III Exam Fees

• Increased Departmental Tuition Scholarship from the University of Chicago (2019)

• Departmental Tuition Scholarship from the University of Chicago (2018)

• Mark of Distinction from Capital One (2018)

  • Awarded for work I did with my colleagues for the 2017 Comprehensive Capital Analysis and Review administered by the Federal Reserve, where we ensured that the auto loss forecast was reasonable and supportable

• Distinction in Research and Creative Works in Statistics from Rice University (2014)

  • Awarded to graduating seniors for projects that produce a concrete outcome and demonstrate commitment and achievement above and beyond the norm

  • Awarded for senior design work I did to understand the market microstructure of the secondary market for sovereign debt in India

• Moen, S.*, Salzer, J. M.*, Cisewski-Kehe, J., & Zhang, Z. I-ACRE: An Autoregressive Conditional Extremes Model for Incomplete Panel Data with Applications in Exoplanet Detection. 

*Equal contribution

• • Symposium on Data Science & Statistics (Refereed paper presentation, 2026)

  • IFDS Research Expo (Poster presentation, 2026)

  • Joint Statistical Meetings (Poster presentation, 2026)

  • ASA Midwest Regional Conference in Statistics and Data Science (Poster presentation, 2026),

  • Data Science Research Bazaar (Poster presentation, 2026)

• Moen, S. Four Common Experimental Designs and How to Use Them & Statistical Consulting Demo.

  • Presented at the Data Science Research Bazaar (Conference session, 2026)

• Moen, S., Wang, J., & Zhang, Z. Modeling Autoregressive Conditional Regional Extremes with Applications to Solar Flare Prediction.

  • Presented at the 14th International Conference on Extreme Value Analysis (Paper presentation, 2025)

  • Joint Statistical Meetings (Poster presentation, 2025)

  • Data Science Research Bazaar (Poster presentation, 2025)

  • American Statistical Association Wisconsin Chapter Poster Session (Poster presentation, 2024)

• Moen, S., & Wu, W. B. Multivariate CAViaR: An Insightful Approach to Risk Modeling.

  • Presented at the Joint Statistical Meetings (Paper presentation, 2023)

• Moen, S. A Look Into Two Statistical Consulting Projects.

  • Presented at the Research Advances in Agricultural Statistics (Conference session, 2023)

• Liu, Y., Moen, S. Simultaneous Changepoint Detection in Temperature Data

  • Presented at the University Consortium for Geographic Information Science Symposium (Poster Presentation, 2020)

• University of Wisconsin–Madison, Department of Statistics (Madison, WI)

  • STAT 571: Statistical Methods for Bioscience I (Fall 2026, Graduate)

  • STAT 572: Statistical Methods for Bioscience II (Spring 2022, Graduate)

  • STAT 571: Statistical Methods for Bioscience I (Fall 2021, Graduate)

  • STAT 324: Introductory Applied Statistics for Engineers (Spring 2021, Undergraduate)

  • STAT 301: Introduction to Statistical Methods (Fall 2020, Undergraduate)

• Jilk, T. (2025, August 20). Catalysts of change: How CDIS partnerships are shaping what’s next. University of Wisconsin–Madison. https://news.wisc.edu/catalysts-of-change-how-cdis-partnerships-are-shaping-whats-next/

  • Highlights the Statistical Consulting Group as an example of a beneficial partnership between the School of Computer, Data, and Information Sciences (CDIS) and the broader UW–Madison community

• WebsEdgeScience. (2025, July 29). A Hub for Interdisciplinary Statistics | University of Wisconsin-Madison [Video]. YouTube. https://www.youtube.com/watch?v=NnMPYReJrGE

  • A video showcase of cutting-edge research produced by the Department of Statistics at UW–Madison 

  • Featured at the 2025 Joint Statistical Meetings in Nashville, TN

• Department of Statistics. (2025, February 5). ‘On the cutting edge’: Statistical Consulting Group enhances diverse research projects across UW–Madison campus. University of Wisconsin–Madison, Department of Statistics. https://stat.wisc.edu/2025/02/05/on-the-cutting-edge-statistical-consulting-group-enhances-diverse-research-projects-across-uw-madison-campus/

  • Introduces the Statistical Consulting Group and how it benefits the larger campus community

  • Mentions work I did with Ashley Cate and Kaipeng Chen in “Bridging digital divides in Wisconsin: an examination of policy efforts and effectiveness over the past five years” where we quantified the impact of broadband subsidies on subscription rates

• Institute for Diversity Science. (2024, November 26). New Study Highlights Impact of Social Inequalities and Location on Wisconsin’s “Digital Divide”. University of Wisconsin–Madison. https://ids.wisc.edu/2024/11/26/new-study-highlights-impact-of-social-inequalities-and-location-on-wisconsins-digital-divide/

  • Shares the findings in “Bridging digital divides in Wisconsin: an examination of policy efforts and effectiveness over the past five years”, written with Ashley Cate and Kaipeng Chen, showing the challenges of addressing the “digital divide” in Wisconsin via subsidies for broadband

• YouTube channel with jazz and classical piano recordings