Summary
Jacob Sonne is a Scientific Data Engineer with nine years of industry experience and a PhD in Computational Science, blending deep physics expertise with practical software engineering. He builds and deploys physics-based and data-driven models—ODE/PDE solvers, thermodynamic and transport simulations, uncertainty quantification—and automates workflows using Python, Docker and Kubernetes. Jacob has applied these skills across domains from polymer and material modeling in oil & gas to production and purchase planning optimization at Novo Nordisk, bridging research-grade numerical methods and production-ready services. He also develops web services and tooling (Flask, MongoDB, Redis) and documents complex systems with Sphinx, making advanced models accessible to engineers and stakeholders. Less obvious: his background in molecular dynamics, Monte Carlo and ab‑initio methods gives him a rare ability to connect molecular-scale insight to large-scale operational decisions.
9 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Computational Science, Doctor of Philosophy (Ph.D.), Computational Science at Danmarks Tekniske Universitet
Zahles Skole
N Zahles Gymnasieskole