The event highlighted the scholarly achievements of students who presented the culmination of their academic research in mathematics, computing, and data-driven decision-making.
Faculty, staff, students, and campus guests filled the room to support the presenters, who delivered insightful, polished presentations reflecting months of rigorous research and faculty mentorship.
Student Presentations:
Jacob Scannell (Information Systems & Technology Major)
- *“Leveraging Data Dashboards to Optimize Baseball Performance at Catawba College”
- Advisor: Dr. Pamela Thompson
- Jacob demonstrated how data visualization and performance analytics can support athletic decision-making and enhance competitive outcomes for Catawba’s baseball program.
Ian J. Shue (Mathematical Finance Major)
- *“Optimizing Financial Portfolios: A Mathematical Approach Using Covariance Matrices and Linear Algebra”
- Advisors: Dr. Jason Hunt, Dr. Pamela Thompson, Dr. Eric Hake
- Ian applied advanced mathematical modeling to real-world investment strategies, offering sophisticated analysis relevant to modern portfolio management.
Tyler N. Burgess (Mathematical Finance Major)
- *“Fractal Analysis of Market Microstructure: Implications for High-Frequency Trading Strategies”
- Advisor: Mr. Jack Bush
- Tyler explored fractal patterns in financial markets, examining how mathematical structures can inform trading behavior in high-frequency environments.
Savanna A. Corrales (Mathematics Major)
- *“Predicting Lupus Flare Ups: Using Machine Learning and Computational Modeling”
- Advisor: Dr. John Zerger
- Savanna presented a compelling application of machine learning, showcasing how computational tools can support medical research and disease prediction.
Following the presentations, attendees gathered for a reception in the Carter Alcove on the third floor of Ketner Hall. The reception provided an opportunity for deeper discussion, networking, and celebration of the students’ hard work and accomplishments.
Dr. Gerard De Leoz, faculty coordinator for the capstone course, expressed pride in the students’ achievements, noting that their work exemplifies the high level of academic excellence within the Mathematics and Computing Sciences Department.
