Selected projects: models, open-source software, and research I've built or led. Each card links to a short write-up with the problem, what I did, and where to find the code or paper.
Space weather · Machine learning
A random-forest model of storm-time atmospheric neutral density, published in Space Weather (2025) and released as an open, installable Python package with a worked example notebook.
Orbit mechanics · Scientific software
A modular framework that turns spacecraft orbit data into energy dissipation rates and effective atmospheric density, validated against the Orekit flight-dynamics library.
Machine learning · Uncertainty
Reusable building blocks for time-series ML in heliophysics: lagged features, tuning, diagnostics, and ARIMA-based perturbed-input ensembles for forecast uncertainty.
Open-source · Data engineering
An open-source package that downloads and loads data from several ground-magnetometer arrays into one pandas interface, now with tools to compute geoelectric fields for space-weather hazard work.
Performance engineering
Vectorized and parallelized the Python port of the JB2008 empirical density model, cutting ~70,000 predictions from ~8 minutes to ~40 seconds.
Mission science
Lead author of the target and science-visibility analysis for STORM, a proposed mission to image the whole magnetosphere at once.
Research
Over a decade of work on how geomagnetic storms energize and deplete Earth's radiation belts, including a new operational-ready radial diffusion model.
2023 model paper →Nature Physics (co-author) →All publications →
Community · Communication
An international online seminar series that kept the space physics community connected when conferences were cancelled during COVID-19.
Developer tooling · AI
A lightweight 'mission control' repo that lets AI coding agents pick up maintenance tasks across my repositories and return reviewable pull requests.