Experience

A career built between disciplines.

Mathematics gave me rigor. Research taught me humility. Industry sharpened the question. Teaching made clarity non-negotiable.

Career

From theory to systems to people.

Jul 2025 — Present

Teaching Assistant Professor of Data Science

University of Arkansas · Fayetteville, AR

  • Lead industry-facing collaborations that turn organizational needs into guest instruction, datasets, and applied practicum projects.
  • Designed and teach generative and agentic AI with RAG, local LLMs, orchestration, and monitoring.
  • Helped shape a privacy-preserving synthetic transaction-data project using Gaussian mixture models and differentially private variants.
  • Revamped Statistical Learning around modern modeling, data cleaning, Docker, MLflow, and reproducible deployment.
University profile →
Aug 2024 — Jun 2025

Postdoctoral Fellow, Data Science & Computational Biology

University of Arkansas System Division of Agriculture · Little Rock, AR

  • Developed generative models—including variational autoencoders and self-attentive transformers—for genomic health-data analysis.
  • Built interpretable classification workflows for Enterococcus cecorum lineages with robust leakage safeguards.
  • Designed analytical pipelines for tissue-damage recovery patterns in high-dimensional biological data.
  • Built reproducible workflows with Nextflow, Bactopia, Docker, and IslandViewer.
Genomic classification paper →
Neuro-omics review →
Jan 2023 — May 2024

Lecturer in Data Science

Sam M. Walton College of Business, University of Arkansas · Fayetteville, AR

  • Taught R, Python, Git, and Bash to more than 100 first-year students.
  • Mentored more than 30 students in advanced optimization methods.
  • Led applied projects in routing, max-flow, and location optimization using CVXPY, Pyomo, PySAL, and Gurobi.
May — Aug 2023

Health Data Science Intern

Arkansas Blue Cross and Blue Shield · Springdale, AR

  • Applied difference-in-differences and Granger-causality analyses to maternal-health questions using observational claims data.
  • Integrated claims, built-environment, social-determinants, socioeconomic, Census, and commercial data for risk assessment.
  • Built time-series forecasting models and R Shiny dashboards that turned analysis into decision-ready outputs.
Jan 2020 — Dec 2022

Senior Graduate Assistant

Department of Mathematical Sciences, University of Arkansas · Fayetteville, AR

  • Taught precalculus, calculus, linear algebra, differential equations, and introductory statistics.
Education

A mathematical foundation for modern AI.

My doctoral work studied how neural networks approximate solutions to heat equations—and how architecture, depth, parameters, and accuracy interact.

2024 · UNIVERSITY OF ARKANSAS

Ph.D. in Applied Mathematics

Focus in deep learning. Dissertation: Analysis and Construction of Artificial Neural Networks for the Heat Equations, and Their Associated Parameters, Depths, and Accuracies.

ScholarWorks collection →
2019 · UNIVERSITY OF ARKANSAS

M.S. in Pure Mathematics

Thesis in topology and computation, building the abstraction and proof habits that continue to shape my applied work.

CONTINUING PRACTICE

Machine learning + systems

NVIDIA deep learning, IBM machine learning, Databricks fundamentals, Wolfram technology, and ongoing hands-on work across modern AI tooling.

Recognition

Awards for the work—and for how it is taught.

2025 · INAUGURAL RECIPIENT

Award for Excellence in Course Design

University of Arkansas Global Campus

SELECTED RECOGNITION
  • SIAM Student Travel Award · 2024
  • Lawrence Jesser Toll, Jr. Endowed Scholarship · 2021
  • Bangladesh–Sweden Travel Award · 2017
  • Pi Mu Epsilon, Alabama Eta Chapter · 2015
  • Millennium Scholar’s Award · 2011
Next chapter

Experience is most useful when it compounds.

I’m interested in collaborations where mathematical depth, applied AI, and careful communication all matter.

Get in touch Explore selected work