Sam Stockman
Postdoctoral Fellow at Harvard University
Bristol, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolSam 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.
10 years of coding experience
5 years of employment as a software developer
Study Abroad, Study Abroad at University of WashingtonThe Manchester Grammar SchoolDoctor of Philosophy - PhD, Computational Statistics and Data Science, Doctor of Philosophy - PhD, Computational Statistics and Data Science at University of Bristol
Stackoverflow
9reputation
20reached
0answers
1question
Github Skills (5)
r6
testing6
python5
protocol-buffers2
google-assistant-api1
Programming languages (2)
Github contributions (5)
samtherussell/squeezebox-controller
Sep 2018 - Jun 2020
A python interface for controlling Logitech Squeezeboxes via the SqueezeboxServer
Contributions:68 commits in 1 year 9 months
python
sr14978/cloud_computing_compiler
Dec 2017 - Jan 2018
Contributions:190 pushes, 2 branches in 23 days
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