Claire Birnie
Research Scientist
United Kingdom
Summary
👤
Senior🎓
Top SchoolClaire Birnie is a research scientist and senior data scientist with over eight years of experience applying self-supervised deep learning, explainable AI, and uncertainty quantification to NLP, computer vision, and time-series problems in research-driven industry and academic settings. With a PhD in Computational Geophysics, she has bridged geoscience and ML across roles at KAUST, Equinor, and research collaborations, producing over 20 publications including the most-cited paper in Artificial Intelligence in Geoscience. She combines hands-on model development and cloud deployment with end-to-end production integration and mentorship, regularly contributing to open-source projects. Claire’s work is notable for translating rigorous uncertainty-aware research into practical solutions for subsurface and industrial applications, and she actively offers seminars, consulting, and board or mentoring roles.
8 years of coding experience
7 years of employment as a software developer
Bachelor of Science (BSc), Geophysics and Meteorology, Bachelor of Science (BSc), Geophysics and Meteorology at The University of EdinburghDoctor of Philosophy (Ph.D.), Computational Geophysics, Doctor of Philosophy (Ph.D.), Computational Geophysics at University of Leeds
Github Skills (15)
linear-operators9
inverse-problems9
optimization8
algebra8
python7
operator7
nlp6
natural-language-processing5
machine-learning5
ml-project4
science4
mlops-workflow4
data-science2
deep-learning1
data-engineering1
Programming languages (2)
Github contributions (5)
equinor/eNLP
Oct 2019 - Apr 2020
A python library of commonly used NLP functions for processing, understanding and visualisation.
Contributions:2 releases, 45 commits, 5 PRs in 6 months
nlppython-libraryunderstandingpythonvisualisation
FraCSPy/FraCSPy
Oct 2024 - Oct 2024
Contributions:1 release, 6 reviews, 23 PRs in 9 days
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