Lukas Mosser is an advanced data scientist and value stream manager with 11 years of experience turning geoscience research and ML theory into production-grade, user-centered AI products. With a PhD from Imperial College London and deep roots in subsurface science, he has led multidisciplinary teams and managed multi‑million dollar Generative AI portfolios at Aker BP, shipping conversational and domain-specific GenAI tools used daily in subsurface workflows. He advises CxOs on AI strategy, co-develops with external vendors, and runs company-wide data science communities to scale best practices in MLOps and data engineering. Comfortable across PyTorch, scikit-learn, Azure, and cloud orchestration, he blends rigorous scientific methods with product ownership to prioritize measurable business value. An oft-overlooked strength is his track record of embedding research—GAN priors for reservoir inversion—directly into operational systems, bridging academia and industry.
11 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy (PhD) Earth Science, Doctor of Philosophy (PhD) Earth Science at Imperial College London
Bachelor of Science (BSc) Petroleum Engineering, Bachelor of Science (BSc) Petroleum Engineering at Montanuniversität Leoben
Anomaly Screening Applying Pseudowells (ASAP). FORCE Hackathon, Stavanger 18-19 September 2018.
Contributions:18 commits, 16 pushes in 6 months
anomalypythonscreeningmachine-learningasap
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Lukas Mosser - Advanced Data Scientist - Value Stream Manager