Thomas Hamill is a senior leader in numerical weather prediction with over three decades of research and operational experience, currently serving as Senior Director of Numerical Weather Prediction at The Weather Company in Boulder. He directs teams building conventional and deep-learning NWP models, data-assimilation systems, and super-resolution post-processing to deliver higher-impact forecasts for customers. His career bridges NOAA research, IBM/Weather Company innovation, and hands-on ensemble/data-assimilation development, including co-developing two global reforecast datasets and pioneering ensemble Kalman filter and stochastic-physics techniques. A PhD from Cornell, he combines scientific rigor with product-focused delivery and an unusual depth in both operational transition and ML-enabled forecasting.
9 years of coding experience
11 years of employment as a software developer
MS Meteorology, MS Meteorology at Penn State University
PhD Atmospheric Sciences and Meteorology, PhD Atmospheric Sciences and Meteorology at Cornell University
Contributions:6 PRs, 7 pushes, 6 branches in 1 day
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Thomas Hamill - Senior Director Of Numerical Weather Prediction