I build open-source tools for radar/satellite remote sensing, atmospheric data analysis, and AI-driven detection of clouds, storms, and extreme weather.
Remote sensing of clouds and precipitation · complex data analysis with statistics, AI, and computer vision · open-source scientific software.
Currently working on
- Edge-computing methods for atmospheric observation and sensor networks
- ARM radar value-added products (polarimetry, Doppler spectra)
- Urban eddy-covariance flux measurements
Currently learning
- Self-supervised AI architectures
- Eddy covariance and flux measurement techniques
- WRF (Weather Research and Forecasting Model)
Open to collaborate on
- AI-based wildfire detection (with UCSD / WIFIRE)
- Derecho impacts on energy infrastructure (with ISU, Stanford)
Full publication record on Google Scholar.




