Summary
Maxfield Green is a data scientist with eight years of experience building ML-driven weather intelligence and renewable energy forecasting products, currently developing state-of-the-art post-processing frameworks for NWP models at Tomorrow.io. He designed and deployed probabilistic wind power forecasts across North American ISOs, cutting key error metrics by 5–20% and serving grid operators and power traders via GCP-based microservices. His background spans geospatial deep learning, wildfire spread modeling with evolutionary methods, and vegetation analytics for utilities, with published research and frequent AMS presentations and leadership. He brings a pragmatic blend of production engineering and academic rigor—integrating deep learning, probabilistic modeling, and cloud deployment—to turn complex environmental data into actionable forecasts. Outside of work he’s an avid climber and former ice-climbing guide, a detail that reflects his comfort with risk-aware decision making in both physical and modeling domains.
8 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Complex Systems and Data Science, Master of Science - MS, Complex Systems and Data Science at University of Vermont