Isabel Fenton
Research Data Scientist
Oxford, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolIsabel Fenton is a Research Data Scientist at the Alan Turing Institute with 10 years’ experience applying quantitative tools to paleoclimate and biodiversity questions. She holds a PhD from Imperial College London and built a harmonised database of over 500,000 plankton records used broadly by the community, linking fossil occurrences to paleoclimate model outputs. Proficient in R, Python and Git, she combines statistical modelling, large-scale data curation and automated morphometric workflows to test how climate and evolution interact across millions of years. Based in Oxford, she brings field sampling and imaging experience (NanoCT/Avizo) together with reproducible computational pipelines, and has a track record of making complex paleo datasets widely reusable.
11 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Environmental controls on planktonic foraminiferal diversity in ancient and modern oceans, Doctor of Philosophy - PhD, Environmental controls on planktonic foraminiferal diversity in ancient and modern oceans at Imperial College LondonMSci, Natural Sciences (Earth Sciences), 2.1, MSci, Natural Sciences (Earth Sciences), 2.1 at University of Cambridge
Github Skills (30)
image-processing10
data-science9
machine-learning9
image-analysis9
alan9
computer-vision9
ecology7
multimodal5
prediction-model5
earth-observation5
classification4
python4
imagery4
jupyter-notebook4
classification-algorithm4
Programming languages (9)
Github contributions (5)
IFenton/scivision
Mar 2023 - Aug 2024
scivision: a framework for scientific image analysis
Contributions:13 PRs, 59 pushes, 37 branches in 1 year 4 months
IFenton/TritonDB
Dec 2020 - Jul 2021
Contributions:8 commits, 6 pushes, 1 branch in 7 months
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