🎓 Mathematics & Computer Science Senior at Maryville College
🔢 Minors: Statistics and Data Analytics
💻 Interested in algorithms, complex systems, and data-driven computation
I’m passionate about the intersection of mathematics, computer science, and theory — where rigorous reasoning meets practical computation.
My work spans spectral and topological analysis of data, algorithm design, and secure systems development.
- 🔬 Research: Spectral & topological shape descriptors, Laplace–Beltrami spectra, persistent homology
- 🧠 Interests: Algorithm design, computational complexity, graph theory, learning theory
- 🛠️ Tech: Python, C/C++, Java, Git, Linux, PyTest, NumPy/SciPy, pandas
- ⚙️ Tools: Virtual Machines, pytorch, pytest,
- 💡 Favorite Projects:
- FTLCANplayer: Faster-than-real-time CAN-bus simulation library for Python (developed at Oak Ridge National Lab)
- Spectral Geometry: Shape-DNA and diffusion geometry experiments in Python
- CS Club Website: Designed and maintain the official Maryville CS Club website
Oak Ridge National Laboratory – NSSD Summer Intern (2024)
Developed a faster-than-real-time CAN-bus simulation library for secure network testing and contributed unit tests to the SHIELD intrusion detection system.
Maryville College – Teaching Assistant
Led review sessions and assisted in Data Structures, Intro to CS, and Probability & Statistics courses.
Programming Team Member
Compete in ACM-style programming contests and help mentor peers in algorithmic problem-solving.
“Bridging the gap between theory and computation.”
Currently exploring how algorithmic analysis and data-driven modeling intersect through research in spectral graph theory and topological data analysis.
I love tackling competitive programming problems and exploring how probabilistic and spectral methods can make algorithms not just faster—but smarter.