Spring 2026:

• Rachel Hudson, BS, The Nature of Time Series Analysis: Exploring Gulf Coast Turtle Nesting Activity, UWF Data Science Capstone, 04/2026.
• Jeanne McClure, PhD, Precisely Wrong: How Pseudo-Absence Inflation Biases Parameter Estimates and Degrades Credible Interval Coverage in Bayesian Logistic Regression, UWF Data Science Capstone, 04/2026.
• Audrey Moore, MS, Comparing Random Forest and Gradient Boosted Decision Tree Models in Sea Turtle Nesting Classification, UWF Data Science Capstone, 04/2026.

Fall 2025:

• Abigail Garman, Maternal Predictors of Breastfeeding Duration in the ITFPS-2 Study, UWF MathStat Proseminar 11/2025.
• Ashley Ordonez Garcia, Comparing False Crawls and Pseudo-Absence Pointswhen Modeling Sea Turtle Nesting on Pensacola Beach (& corresponding paper), UWF MathStat Proseminar 11/2025.
• Angelina Scamardo, From the Sea to Statistics: Using Machine Learning to Predict Sea Turtle Nesting Patterns, American Geophysical Union’s Annual Meeting 12/2025.
• Dru Adams, Temporal Trends in Sea Turtle Nesting: Effects of Environmental and Anthropogenic Events, American Geophysical Union’s Annual Meeting 12/2025.

Summer 2025:

• Dru Adams, Temporal Trends in Sea Turtle Nesting: Effects of Environmental and Anthropogenic Events, UWF SURP Symposium 08/2025.
• Angelina Scamardo, From the Sea to Statistics: Using Machine Learning to Predict Sea Turtle Nesting Patterns, UWF MathStat Proseminar 07/2025.

Fall 2024:

• Hunter Evans, Violating Equidispersion: A Comparative Analysis of Poisson and Negative Binomial Regression, UWF MathStat Proseminar 11/2024.
• Cheyenne Long, Modeling Sea Turtle Nesting Patterns: How Many Pseudo-Absence Points Are Necessary?, UWF MathStat Proseminar 11/2024.