Current Focus
- Studying Mathematics-Economics and Data Analytics at Furman University.
- Building AI and data workflows for instructional research at Pathwright.
- Turning statistical and machine learning results into clear decisions for non-technical audiences.
Featured Work
Summer research | Michelin & BMW
Building a mathematical model to predict tire demand for Michelin, and contributing to a data-driven project at BMW aimed at making plant operations more efficient.
Read morePathwright | AI Research & Data Science
Building adaptive instructional-agent experiments and reproducible research workflows for personalized learning, model-failure analysis, and stakeholder reporting.
Read moreOpenAI Data Science Research
OpenAI Build Week work on PathMX Learning Labs: turning agent conversations into durable, playable learning paths for nontechnical learners, with beginner testing and research on structure and wait-time.
Open case studyScience Paper
An agentic authoring continuum for personalized curriculum: three classroom deployments.
Open case studyMath and the Mouse
A course project journal connecting math, visualization, and storytelling through short weekly reflections and artifacts.
View case study | Read the blogData Projects
Healthcare utilization visualization, geospatial water-quality modeling, economics AI consulting, and interpretable digital-behavior prediction.
Browse case studiesCampus Experience
Experience in campus jobs and student leadership that I have done alongside my research work at Furman University.
Read moreSkills Snapshot
- Languages: Python, R, SQL, HTML/CSS
- Data science: Pandas, NumPy, Scikit-learn, regression, tree-based models, cross-validation
- AI: LLM evaluation, prompt and agent workflows, model-failure analysis, personalized learning systems
- Analytics: EDA, statistical modeling, visualization, A/B testing
- Tools: Tableau, Snowflake, Git/GitHub, Jupyter Notebook, VS Code, MySQL, RStudio