Senior Machine Learning Researcher at Natural History Museum
London, England, United Kingdom
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Summary
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Senior
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Top School
Arianna Salili-james is a Senior Machine Learning Researcher and mathematician with a decade of experience applying shape analysis and ML to real-world problems, currently leading computer vision and morphometrics projects at the Natural History Museum. Her PhD work in elastic shape analysis underpins applied research spanning medical imaging, bioacoustics, specimen digitisation and conservation-focused data science. Comfortable bridging theory and practice, she moves between Python notebooks, robotics-enabled digitisation pipelines, and statistical geometry to extract meaningful biological insights. She also co-organises national AI events and outreach programmes, helping connect research, policy and public engagement. An unexpected through-line in her career is a long-standing enthusiasm for “wonderful numbers” and the playful mathematical curiosity she brings to interdisciplinary teams.
10 years of coding experience
9 years of employment as a software developer
Hendon School & Sixth Form
Doctor of Philosophy - PhD Mathematics, Doctor of Philosophy - PhD Mathematics at Brunel University of London
Master's Degree Mathematics, Master's Degree Mathematics at King's College London
Tools to extract contours from images and use shape analysis.
Contributions:2 PRs, 8 pushes, 1 branch in 2 years 8 months
contoursimage-processingpythonshape-analysis
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