I'm building and flight‑testing small UAS payloads for atmospheric profiling and maritime environmental monitoring. The goal is to generate higher‑quality observational data for numerical weather prediction and to explore how low‑cost drones can de‑risk EMCON/TACSIT and autonomy decisions in data‑sparse maritime environments.
Designing and testing drone‑mounted sensor packages for vertical profiles of wind, temperature, and moisture in areas traditional observing networks don't reach.
Exploring how UAS observations can improve ship routing, UAS/USV launch windows, and EMCON/TACSIT choices for carrier and amphibious groups.
Using Python and MATLAB to clean, QC, and assimilate drone data alongside model output—then turning it into operator‑focused dashboards and decision aids.
I'm always open to discussing innovative meteorological applications and potential partnerships.
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