Develop and train machine learning models for cloud microphysics, storm evolution, and weather-seeding impacts. Build data pipelines using balloon, radar, satellite, and model data; lead preprocessing, training, evaluation, and uncertainty experiments; and translate research into production forecasting tools. Collaborate with atmospheric and hardware teams on field integration, applying spatiotemporal, physics-informed, or time-series methods and distributed computing.