Alex Gibberd

Assistant Professor In Applied Statistics

North Norfolk, England, United Kingdom
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Summary

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Senior
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Top School
Alex Gibberd is an applied statistician and Assistant Professor specializing in high-dimensional time-series and non-stationary dependence, with a decade of experience bridging methodological development and real-world applications in neuroscience, finance, and anomaly detection. He develops regularized inference tools for describing and forecasting complex multistream systems, and his work spans correlated point-process models through to practical predictive pipelines. Previously a senior lecturer and a research associate at leading UK institutions, Alex also founded a fintech-oriented startup, bringing entrepreneurial pragmatism to academic research. Based in North Norfolk, he combines rigorous PhD training from UCL with interdisciplinary MRes and physics background, enabling a knack for translating abstract statistical theory into actionable insights for large data-stream settings.
code10 years of coding experience
job7 years of employment as a software developer
bookMPhys, Astronomy, Physics, MPhys, Astronomy, Physics at University of St Andrews
bookNorth Berwick High School
bookUniversity College London
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Stackoverflow

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Github Skills (6)

graphical-models6
r5
time-series4
factor4
estimate4
sparse2

Programming languages (2)

RPython

Github contributions (5)

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Contributions:15 pushes, 1 branch in 11 months
AlexGibberd/pointWav

Jul 2019 - Mar 2020

Contributions:6 pushes, 1 branch in 7 months
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