PhD in Mathematics | Master's in Data Science (graduating Aug 2026) | Adjunct Professor of Mathematics
I'm passionate about leveraging mathematics, machine learning, and data science to solve complex problems, whether in education, business, or cutting-edge research. With a strong theoretical foundation in geometric function theory and hands-on experience in continual machine learning research, I'm actively seeking a full-time Data Scientist or Machine Learning Engineer position.
PhD in Mathematics — Specialization in geometric function theory, quasiregular and quasiconformal mappings, and quasiregular dynamics
Master's in Data Science — Graduating August 2026
Current Role — Adjunct Professor of Mathematics, North Central College
During my PhD, I worked as a Research Aide in the MCS (Mathematics and Computer Science) Division at Argonne National Laboratory, where I focused on continual machine learning research—bridging my mathematical expertise with practical machine learning applications.
- ML Research & Development — Advancing machine learning methods and theory
- Data Science in Education — Analyzing student metrics, course outcomes, and educational effectiveness
- Business Analytics — Extracting insights from data to drive decision-making
- Connecting Math to ML — Exploring the mathematical foundations of machine learning and data science
| Category | Technologies |
|---|---|
| Languages | Python, R, LaTeX, SQL, Java, Julia |
| Data Science & ML | pandas, scikit-learn, TensorFlow, JAX, Equinox, Jupyter Notebooks, VSCode, GitHub, Virtual Environments |
| Specializations | Machine Learning, Data Analysis, Statistical Modeling, Mathematical Computing |
| Strengths | Problem-solving, Mathematical reasoning, Theoretical analysis, Research |
Research work completed at Argonne National Lab discovering a novel approach to continual learning. We explore learning both weights and architecture of neural networks simultaneously at each new learning task. This project bridges theoretical machine learning with practical implementation in JAX.
Mathematical visualization project exploring Antoine's Necklace and related geometric structures. Combines Python programming with mathematical visualization to make complex topology accessible, highlights NumPy and Plotly. This project showcases not only high-level knowledge and application of mathematical transformations, but also solid understanding object-oriented programming skills in Python by constructing a class from scratch.
An ETL tool designed to transform iReady diagnostic CSV exports into comprehensive, multi-term Excel reports for elementary school teachers. Automates data merging, growth tracking, and visual analytics—reducing hours of manual work to seconds. Features a user-friendly desktop GUI, automatic growth calculations, color-coded visualizations, and 100% local processing for FERPA compliance.
Predictive modeling project applying machine learning techniques (Gradient boosting, SVM, LASSO regression) to real-world regression problems. A well documented Jupyter notebook and executive summary are provided. This is a private repo as it was created for a course project. Please reach out for access to the repo.
Data-driven analysis of student metrics in my college introductory mathematics courses. Demonstrates my passion for improving educational outcomes through data science and highlights high-level data cleaning and analysis skills using pandas and NumPy.
I'm actively seeking opportunities to:
- Apply machine learning and data science to meaningful problems in industry or research
- Leverage my mathematical foundation to develop robust, theoretically-grounded ML solutions
- Collaborate on projects at the intersection of mathematics, data science, and domain expertise
- Transition from academia to industry as a Data Scientist or Machine Learning Engineer
I'm open to collaboration, freelance opportunities, and full-time positions. Feel free to reach out!
