Jamie Ward
Higher Statistical Data Scientist
Leeds, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolJamie Ward is a Higher Statistical Data Scientist at HMRC with eight years’ experience applying rigorous data analysis, automation and machine learning to large time-series problems built during a PhD and research fellowship in seismology. He designed open-source Python software that automated terabyte-scale seismic processing using bootstrap resampling and clustering to remove subjectivity and quantify uncertainty, and has applied ML to tasks from SAR image classification to ozone forecasting and tweet sentiment. Comfortable communicating complex ideas to both expert and public audiences, he has presented at international conferences, published in high-impact journals and was runner-up for Geophysics Thesis of the Year 2022. Jamie pairs hands-on version-controlled development and mentoring in cross-disciplinary teams with a persistent curiosity about Bayesian methods and scalable automation.
8 years of coding experience
MSci, Geophysics, First Class, MSci, Geophysics, First Class at Imperial College LondonDoctor of Philosophy - PhD, Geophysics and Seismology, Doctor of Philosophy - PhD, Geophysics and Seismology at University of Leeds
English
Github Skills (12)
dtw9
in-progress9
wavefront9
pitch8
seismology8
mantle8
terra8
python6
visualization5
raycasting2
kubernetes1
volume-rendering1
Programming languages (3)
Github contributions (5)
eejwa/Array_Seis_Circle
May 2020 - Jan 2023
(work in progress) python package for array seismology methods correcting for a curved wavefront.
Contributions:1 release, 115 commits, 3 PRs in 2 years 8 months
dtwseismologyarraypythonwavefront
eejwa/Data-Preprocessing
Jan 2019 - Nov 2020
Contributions:10 pushes, 1 branch in 1 year 10 months
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