Mathematics and Data Science student at the University of Alabama. I apply data science and mathematical techniques to tell stories with data
Basketball especially: opponent-adjusted metrics, bayesian player modeling, matchup simulation. Some baseball and fantasy football on the side.
Computer vision, transformers, agent-based models. Drawn to projects where honest evaluation matters as much as the model.
My first love. Especially interested in probabilty theory as of late.
PSIA-certified instructor; five winters in Montana teaching beginners through advanced.
I'm a Mathematics and Data Science student at the University of Alabama, graduating May 2027. Since January 2025 I've worked as an undergraduate research assistant with Dr. Jia Zhao in the Department of Mathematics on Transformer-based modeling of groundwater dynamics.
I have a passion for presenting data in an interesting and interactive format, allowing users to explore their own questions within the scope of the data.
In my free time, I enjoy long-distance running, weightlifting, and birdwatching (shoutout Ruddy ducks). If anything here is interesting, send me a note.
A college basketball analytics site I built end-to-end: custom adjusted-efficiency ratings, Bayesian player projections backtested against held-out seasons, and an interactive explorer covering ~20,000 D-I player-seasons since 2021.
First-inning run scoring as a 24-state absorbing Markov chain. NRFI probabilities computed analytically via fundamental matrix inversion and empirically via 50,000 Monte Carlo simulations with confidence intervals. Automated daily MLB API pipeline.
Research with Dr. Jia Zhao at the UA Department of Mathematics. A Transformer architecture with Multiresolution Hash Encoding trained on two decades of cleaned US groundwater data. ASSURE grant awardee.
Fine-tuned a custom YOLOv5 detector for real-time identification of human presence in LWIR UAV imagery. Achieved 76% recall on the targeted class through a pseudo-labeled synthetic data pipeline. Published as an academic paper.
A Mesa-based agent simulation of outbreak dynamics with scenario testing for vaccine strategies, masking policy, and lockdown thresholds. Household and workplace contact structures, age-based risk profiles, dynamic intervention triggers.
Parser and de-identification tool for HL7 medical messages, with a Streamlit interface for analyst review. Second place at UA Innovate.
A genetic algorithm for fantasy football draft strategy optimization, packaged as a Dash application used live on draft night.
Working on something interesting, or have a research role I should know about? Send me a note!