Ryne VanKrevelen

Associate Teaching Professor of Statistics

Duke, Office 307G 2320 Campus Box Elon, NC 27244

Brief Biography

Ryne VanKrevelen joined the department in 2015. He has expertise with the statistical programming language R and taught the first offering of the department’s Introduction to Data Analytics course (STS 2300). He serves as faculty co-mentor to the Baseball Analytics Club and has mentored several students in sports analytics research projects. He is involved in department and campus-wide initiatives related to inclusive and equitable teaching and learning. He and Professor Cantwell run the Williams-Elon Research In Statistics Experience (WE RISE) program, each year mentoring 20 students from a local high school in year-long research projects that culminate in presentations at Elon’s Spring Undergraduate Research Forum. In his free time, he is an avid birder who has observed over 250 different species of birds in North Carolina (with over 80 species on Elon's campus).

News & Notes

Education

PhD, Statistics, University of Iowa, May 2015
MS, Statistics, University of Iowa, May 2011
BS, Statistics and Philosophy, University of Wisconsin, December 2008

Employment History

2025 - present - Associate Teaching Professor of Statistics at Elon University
2023 - 2025 -- Senior Lecturer in Statistics at Elon University
2016 - 2023 -- Lecturer in Statistics at Elon Unversity
2015 - 2016 -- Adjunct Assistant Professor of Statistics at Elon University

Courses Taught

STS 1100 - Introduction to Statistical Reasoning
STS 2120 - Statistics in Application
* STS 2300 - Introduction to Data Analytics
STS 2320 - Statistical Modeling
* STS 2720 - Statistics in Application with R (6 credits)
STS 3250 - Design and Analysis of Experiments
STS 3420 - Statistical Theory
STS 3470 - Statistical Computing for Simulation and Theory
STS 4810 - Internship in Statistics
STS 4990 - Independent Research in Statistics

* indicates courses created

Research

Mentored undergraduate student projects (presentations in parentheses)

(Current) Analyzing the Experiences of Bipolar Individuals
(Current) Simulating Major League Baseball Games
Analyzing What Makes a Major League Pitcher Effective (SURF)
Fundamentals of Collecting and Analyzing Baseball Data (eBook)
Estimating the Causal Effect of Pandemic-Induced League Shutdowns on Hockey Prospects (CMSAC, SURF)
Predicting Goal Scoring Outcomes for Individual Players in Division 1 Women's Soccer
Modeling NCAA Bracket Picks (UNCG RMSC, EUSRC, SURF*)
Analyzing the Impact of Brexit on Major Industries (SURF*)
Modeling BMI in Adolescents (EUSRC, SURF)
Modeling Salaries of Major League Baseball Players (SURF)
A Regression Analysis of How Major League Baseball Runs are Scored
Predicting End of Year MLB Team Records with Confidence Intervals (SURF)

Mentored Williams High School student projects (presentations in parentheses)

Education in North Carolina: Funding, Resources, and ACT Performance (SURF 2025)
The Impact of Education Funding on Health and Well-being (SURF 2025)
Investigating Factors Impacting Student Education in North Carolina (SURF 2025)
Leading Factors of Success at the Olympics (SURF 2025)
Comparing Rookie Contract Earnings and NIL Deals for Division 1 Men's and Women's Basketball Players (SURF 2025)
Comparing College Class Experiences and Preferences (SURF 2024)
Investigating Factors That Impact College Satisfaction Among Graduates (SURF 2024)
How Elon Students Balance Social Life with Other Factors (SURF 2024)
Investigating Factors Related to Stress in College Students (SURF 2024)
Stress and Mental Health of High School Students Through the COVID-19 Pandemic (SURF 2024)
Analysis of Factors That Affect a Billboard Hot 100 Song's Popularity (SURF 2023)
How Fan Attendance Affects Home Team Win Percentage (SURF 2023)
Predicting Goal Differential in NCAA Division 1 Soccer (SURF 2020*)
Analysis of Scoring in Women's and Men's College Basketball (SURF 2020*)
Predicting Professional Sports Team Records with Confidence Intervals (SURF 2019)

* indicates cancelled due to COVID-19

Publications

Taylor, L. L., Doehler, K., VanKrevelen, R., Weaver, M. A., & Trocki, A. D. (2022). A case study of strategies for intentionally building course community to support diverse learners in an introductory statistics course. Teaching Statistics.

Presentations

Selected Recent Presentations

Exploring Alternative Grading Models for Teaching Statistics (with Heather Barker and Nicholas Bussberg). United States Conference on Teaching Statistics. Ames, IA. July 2025.
Insights from Two Years of Implementing an Innovative, Experience-Based Statistics Graduation Requirement (with Nicholas Bussberg, Laura Taylor, and Mark Weaver). United States Conference on Teaching Statistics. Ames, IA. July 2025.
Lessons Learned Using Different Alternative Grading Methods in Statistics Courses (with Heather Barker and Nicholas Bussberg). The Grading Conference. Virtual. June 2025.
Creating an Undergraduate Learning Assistants Program for Calculus 1 and Introductory Statistics Courses (with Kristen Mazur). Mathematical Association of America Southeastern Section Meeting. High Point, NC. March 2025.
Re-envisioning a statistics senior comprehensive requirement to promote student engagement (with Nicholas Bussberg, Mark Weaver, and Laura Taylor). Electronic Conference on Teaching Statistics. Virtual. June 2024.
A Multi-instructor Creation and Implementation of a Free Question Bank for Introductory Statistics (with Andrew Dellinger, Heather Barker, and Mark Weaver). United States Conference on Teaching Statistics. State College, PA. June 2023.
Going Beyond P < 0.05: Teaching About P-Values in STEM (with Mark Weaver). North Carolina PKAL Network Conference. Virtual. March 2023.
Building an Inter-disciplinary Statistics Data Repository (with Laura Taylor and Mark Weaver). Electronic Conference on Teaching Statistics. Virtual. May 2022.
Exploring "The Islands": A Virtual World for Data Collection in Statistics Courses. International Conference on Technology in Collegiate Mathematics (with Melanie Autin and Laura Taylor). Virtual. October 2021.
Using IPUMS Data for Course Projects. United States Conference on Teaching Statistics. Virtual. June 2021.
Interactive Examples in Statistics Courses Using R Shiny. Joint Statistical Meetings. Denver, CO. July 2019.
Interactive Class Examples with R Shiny to Build Student Intuition. United States Conference on Teaching Statistics. State College, PA. May 2019.

Professional Activities

2018 - 2020 - Chapter Representative for the North Carolina chapter of the American Statistical Association