Ben McCrossan
CEO building machine-learning space weather and space-threat platforms
Washington, District of Columbia
Summary
Founder and CEO focused on operational space-weather and space-threat forecasting: leads a startup that builds cloud-native, machine-learning driven platforms to fuse distributed sensor data into actionable forecasting and characterization products for satellite operators and national-security customers. hyperios+2
Brings operator experience from the U.S. Navy into technical leadership: served as a Surface Warfare Officer (including coxswain duties on a Mark VI patrol boat) and completed naval nuclear propulsion training, combining operational discipline with technical training. dvidshub+2
Active technical contributor in thermospheric density research and forecasting: authored and presented work on serverless neutral-density monitoring and surrogate modeling using dimensionality reduction and ML to improve thermospheric forecasts used by satellite operators. noaa+1
Leverages government contracts and SBIR traction while pursuing commercial growth: the company has pursued small-business government contracts and Phase II SBIR work (NOAA, Air Force) and is positioned to engage both commercial satellite operators and defense customers. pitch+1
Work
Education
Projects
Writing
Surrogate Modeling of Thermospheric Mass Density Using Dimensionality Reduction and Machine Learning Regression
January 1, 2025Poster/paper describing a surrogate modeling framework for thermospheric mass density using dimensionality reduction and machine-learning regressors to enable scalable reconstruction and forecasting.
A Serverless Neutral Density Monitoring and Forecasting Service
January 1, 2024Presentation detailing a serverless service for monitoring and forecasting neutral (thermospheric) density to support space-weather forecasting and operational decision-making.