Research
Diatonic melody encoding in geographic identification of symbolic folk music.
University of Florida (AI) USP, Department of Statistics
April 2026 - Present
In Progress
Applications of bayesian machine learning in causal inference with randomized controlled trials.
Yale School of Public Health, BDSY program (NIH Funded)
Summer 2026
In Progress
Stereoscopic Parameters, Space Resection Algorithms, and CloudCompare plugins.
University of Florida School of Forests, Fisheries, and Geomatics
August 2025 - Present
I have worked with Dr. Ben Wilkinson and PhD students conducting research in computer vision, image registration, and spatial resections. We produced deliverables to non-profits involved in coastal research on the Florida Gulf. I also wrote a custom algorithm to replicate a computer vision space resection, which takes as input $n$ object points in $\mathbb{R}^3$ and $n$ matching image points in $\mathbb{R}^2$ and returns a solution for $X,Y,Z,\omega$ (Roll), $\phi$ (Pitch), and $\kappa$ (Yaw): the extrinsic camera parameters. Additionally, I created an experimental design for a research project focused on optimizing parameters for stereoscopic photogrammetry. And, using CloudCompare compiled from source, I worked on developing plugins in C++ and Python aimed at optimizing and automating various photogrammetric workflows.
Take-all Disease in Wheat: Exploring large dataset management and analysis at Rothamsted Institute, England.
University of Florida in England, Department of Statistics
Summer 2025
I studied under UF professors Dr. Beth Johnson and Dr. David Holmes, as well as researchers at the Rothamsted Institute in England. We examined associations between different wheat cultivars, environmental conditions, and the presence of take-all- a prominent and devastating crop disease. Specifically, my team focused on variable selection methods and data visualization. We also used well-established theoretical statistical methods like multiple regression and stratification to systematically chart changes in wheat disease over time. This project culminated in a presentation to the data scientists and biologists at Rothamsted, who continue to work with UF students to analyze their agricultural experiments. I greatly enjoyed the challenge and unique experience of working with complicated, agricultural data alongside prominent data scientists, professors, and colleagues.
Educational Tools for Biochemical Modeling, University of Florida College of Education
January 2025 - May 2025
I worked under Dr. Ken Crippen in the UF College of Education to design and evaluate educational material focused on biochemical molecular modeling and simulations. We utilized 3d modeling tools alongside PhD students in Education to create a lesson plan targeted at high-achieving high school students. The curriculum involved state-of-the-art modeling tools recently developed at UF and other collaborating institutions. My contribution to this project included a detailed lesson plan which provided a hands-on, guided walkthrough of new modeling tools accessible to them, as well as demonstrations of some basic high school level chemistry concepts. Additionally, I met with researchers several times throughout the project timeline to discuss learning objectives, educational philosophy, and applied biochemistry topics to improve upon these resources. My passion for teaching led me to this opportunity, and I enjoyed being able to create educational resources on my own, something which I hope to continue as I become more involved in academia and education.