Dr Samuel Stockman
Expertise
My research focuses on the application of statistical machine learning approaches to address real-world problems. Currently, I'm developing and evaluating Neural Point Process models to enhance operational earthquake forecasting.
Current positions
Honorary Senior Research Associate
School of Earth Sciences
Contact
Press and media
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Publications
Recent publications
08/08/2026Can Domain‐Informed Design Improve Neural Spatio‐Temporal Point Processes for Earthquake Forecasting?
Earth's Future
EarthquakeNPP: A Benchmark for Earthquake Forecasting with Neural Point Processes
Transactions on Machine Learning Research (TMLR)
A benchmark database of ten years of prospective next-day earthquake forecasts in California from the Collaboratory for the Study of Earthquake Predictability
Scientific Data
Enhancing Uncertain Demand Prediction in Hospitals Using Simple and Advanced Machine Learning
BMC Medical Informatics and Decision Making
SB-ETAS
Statistics and Computing
Thesis
Enhancing Earthquake Forecasting
Supervisors
Award date
04/02/2025
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Mr Jose Bayona
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School of Earth Sciences