Simen Eldevik
Data Science & AI Manager
Oslo, Norway
Summary
👤
Senior🎓
Top SchoolSimen Eldevik is a Data Science & AI Manager with eight years of experience bridging machine learning and physics-based modelling to improve safety in high-risk engineering systems. With a PhD in acoustics and material science and a background as a physicist and risk analyst, he focuses on combining causal, physics-driven knowledge with data-driven ML to make safety-critical AI inherently trustworthy. He has led research and product teams at DNV and Aker BP, translating virtual testing and ML for scenarios with little or no data into operational decision support. Simen’s work targets rare, high-consequence events where traditional data-driven approaches fall short, applying constrained ML and probabilistic reasoning to mitigate risk. Trained also in executive leadership at Berkeley Haas, he pairs technical depth with business and product sense to drive adoption in industry. Less obvious: he started his career in pipeline integrity and structural reliability, which grounds his AI work in practical engineering failure modes.
8 years of coding experience
16 years of employment as a software developer
M.Sci, Physics, M.Sci, Physics at University of GlasgowDoctor of Philosophy (PhD), Acoustics and material science, Doctor of Philosophy (PhD), Acoustics and material science at Universitetet i Bergen / University of Bergen (UiB)TopTech - Executive leadership program, Business and innovation, TopTech - Executive leadership program, Business and innovation at University of California, Berkeley, Haas School of BusinessNorwegian University of Science and Technology
Norwegian, English, German
Github Skills (9)
markdown6
vscode6
vscode-extension5
machine-learning4
jupyter4
knowledge-management3
pdf1
vuepress1
jupyter-extension1
Programming languages (3)
Github contributions (5)
RaPiD-models/rapid_models
Sep 2021 - Nov 2022
Contributions:2 releases, 1 review, 4 commits in 1 year 1 month
simeld/ml-and-physics
Apr 2018 - Sep 2019
Contributions:1 push, 1 branch in 1 year 5 months
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