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portfolio
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publications
When the Drone is in Your Backyard
Published in Issues in Science and Technology, 2021
Recommended citation: Nelsen, Eleanor, Adeline Guthrie, and Lee Vinsel. "When the Drone is in Your Backyard." Issues in Science and Technology 37, no. 3 (Spring 2021), 29-31 https://issues.org/when-the-drone-is-in-your-backyard-nelsen-guthrie-vinsel/
Public and industry knowledge and perceptions of US swine industry castration practices
Published in Animal Welfare, 2023
Recommended citation: Neary, Jessica M., Adeline P. Guthrie, and Leonie Jacobs (2023). "Public and industry knowledge and perceptions of US swine industry castration practices." Animal Welfare, 32, e79. https://doi.org/10.1017/awf.2023.99
Factors Associated with Behavioral Euthanasia in Pet Dogs
Published in Frontiers in Veterinary Science, 2024
Recommended citation: Hitchcock, Miranda, Miranda K. Workman, Audrey Ruple, Adeline P. Guthrie, and Erica N. Feuerbacher. (2024). "Factors Associated with Behavioral Euthanasia in Pet Dogs." Frontiers in Veterinary Science, Vol 11. https://doi.org/10.3389/fvets.2024.1387076
Boldness-Recalibration for Binary Event Predictions
Published in The American Statistician, 2024
Recommended citation: Guthrie, Adeline P., and Christopher T. Franck. (2024). "Boldness-Recalibration for Binary Event Predictions." The American Statistician, 1-17. https://www.tandfonline.com/doi/full/10.1080/00031305.2024.2339266
BRcal: An R package to Boldness-Recalibrate Probability Predictions.
Published in arXiv, 2024
Recommended citation: Guthrie, Adeline P., and Christopher T. Franck. (2024). "BRcal: An R package to Boldness-Recalibrate Probability Predictions." arXiv preprint. https://arxiv.org/abs/2409.13858
software
BRcal: Boldness-Recalibration of Binary Events
Published:
Recommended citation: Guthrie, Adeline P., and Christopher T. Franck. (2024). "BRcal: Boldness-Recalibration of Binary Events." R package version 1.0.1. https://CRAN.R-project.org/package=BRcal
talks
Advancing Advancement with Data Science
Published:
This was a brief talk covering collaborative work with Advancement at Virginia tech, aimed towards improving models to predict future volunteership, event attendance, and donations.
Probabilistic Population Synthesis for Decision-Making
Published:
This was a brief talk covering the current status of research into probabilistic population synthesis, intended to be used for pre-conditioning for agent-based models.
Automating Data Clearning, Merging, Processing, and Visualization in Real Time
Published:
This was a poster presentation covering work performed for Virginia Tech during the pandemic as part of their effort to combat Covid-19 outbreaks on campus.
teaching
Data Science for Leaders Training
External course, Virginia Tech, SAIG, 2021
Co-created and delivered an Internal Revenue Service (IRS) data science for leaders course in conjunction with the MITRE Corporation covering the basics of statistics, data visualization, hypothesis testing, machine learning and more. This series includes 893 PowerPoint Slides in 41 separate topic modules. Total length of the videos recorded exceeds 30 hours of recorded material. Funded by the IRS through MITRE and the Statistical Application and Innovations Group at Virginia Tech.
Model Selection in R SAIG Short Course
Short course, Virginia Tech, SAIG, 2023
Instruction of short course covering multiple linear regression basics, model diagnostics, and model selection techniques in R, 2-hour hybrid course, 13 students.
STAT 4707 - Probability and Statistics for Engineers II
Undergraduate service course, Virginia Tech Department of Statistics, 2024
Undergraduate introductory statistics course covering sampling distributions, estimation, hypothesis testing, simple linear regression, multiple regression, and one-way analysis of variance with applications in engineering. Six-week online asynchronous course, 25 students.
Introduction to Python
Short course, Virginia Tech Explore Data Science Camp, 2024
Created and delivered an interactive introductory Python course for 11th-12th Graders covering the basics of Python, Jupyter Notebooks, and Exploratory Data Analysis, 2-hour course, two sections of 28 students.
STAT 3616 - Biological Statistics II
Undergraduate service course, Virginia Tech Department of Statistics, 2024
Undergraduate introductory statistics course covering analysis of variance, categorical data analysis, non-parametric tests, simple linear regression, multiple regression, and logistic regression with applications in biological sciences. Biweekly 75-minute lectures, 71 students.