Sam Stockman is a statistical machine learning researcher with 10 years' experience applying data-driven methods to societal and environmental challenges, currently focused on machine learning for earthquake forecasting and seismic risk assessment. He blends academic rigor—PhD in Computational Statistics and Data Science from the University of Bristol and invited international talks—with practical delivery across cloud platforms (Databricks, Azure) and geospatial AI at DEFRA. At Bristol he developed fast Bayesian inference algorithms and benchmarked ML earthquake forecasts on the UK’s largest AI supercomputer, while co-supervising students and translating research into operational comparisons. Now holding roles at Harvard, DEFRA and as an Honorary Senior Research Associate, he bridges research, policy and operational deployment of GeoAI. His work has attracted wider attention, including a Nature feature, reflecting both technical novelty and real-world impact. Based in Bristol, he combines strong quantitative foundations with hands-on experience deploying AI tools in government and research settings.
9 years of coding experience
4 years of employment as a software developer
Study Abroad, Study Abroad at University of Washington
The Manchester Grammar School
Doctor of Philosophy - PhD Computational Statistics and Data Science, Doctor of Philosophy - PhD Computational Statistics and Data Science at University of Bristol
A python interface for controlling Logitech Squeezeboxes via the SqueezeboxServer
Contributions:68 commits in 1 year 9 months
python-interfacepythonlogitechcontrolling
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