Summary
Dion Häfner is a Staff Research Engineer and R&D lead with 11 years of experience building scalable scientific software and leading teams at the intersection of physics, machine learning, and data engineering. With a PhD in Physics and a background in oceanography and numerical modeling, he builds data-driven systems that make complex physical phenomena tractable—ranging from differentiable programming and fluid dynamics to probabilistic and causal ML. At Pasteur Labs he has helped shape the team, culture, and tech stack while shepherding research-to-product transitions for simulation intelligence. He also has a track record of high-performance scientific code (e.g., the Veros ocean model) and hands-on expertise in Python/JAX for large-scale, production-ready simulations and terabyte-scale data pipelines. Notably, he pairs deep domain knowledge with practical engineering discipline, enabling rapid iteration from research prototypes to robust systems.
11 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD Physics, Doctor of Philosophy - PhD Physics at Københavns Universitet - University of Copenhagen
Master of Science (MSc) Physics, Master of Science (MSc) Physics at Heidelberg University
School of Engineering, School of Engineering at KTH Royal Institute of Technology
English, German, Swedish, Danish