Christina Fell
Data Scientist
City of Edinburgh, Scotland, United Kingdom
Summary
👤
Senior🎓
Top SchoolChristina Fell is a data scientist with nine years of experience who blends academic rigor and industry pragmatism, currently applying machine learning at Ageas UK. She moved from postdoctoral research and lecturing at the University of St Andrews—where her PhD focused on automated image processing and spatially adaptive tiling for wildlife counts—into medical computer vision and MR-genetics research before transitioning to applied data science. Earlier in her career as a Senior Engineer at Arup she led low-carbon transport trials, project management and statistical analysis, giving her strong experimental design and field-data expertise. Christina’s background uniquely bridges mechanistic engineering, applied statistics and deep learning for image-based diagnostics, and she often draws on real-world measurement and trial design when deploying models. Based in Edinburgh, she brings a track record of taking research prototypes through to practical, interpretable solutions in regulated domains.
9 years of coding experience
19 years of employment as a software developer
Doctor of Philosophy - PhD Statistics, Doctor of Philosophy - PhD Statistics at University of St AndrewsMaster of Engineering (MEng) Mechanical Engineering, Master of Engineering (MEng) Mechanical Engineering at Imperial College London
Github Skills (3)
latex5
markdown4
pandoc4
Programming languages (3)
Github contributions (5)
CMFell/cnn_experiments
Jun 2019 - Aug 2021
Contributions:35 commits in 2 years 2 months
CMFell/MRSeaCF
Apr 2019 - Jul 2020
MRSea package construction
Contributions:4 PRs, 23 pushes in 1 year 2 months
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