Ulf Aslak is a Principal Data Scientist based in Copenhagen with 11 years of experience building Bayesian models and computational systems that turn complex data into actionable business decisions. He specializes in Bayesian Marketing Mix Modeling and generative AI, having built the MMM behind a SaaS attribution product and now leading high-impact client projects at PyMC Labs. His background spans academia and industry—from a PhD in Computational Social Science and postdoc work on mobility during COVID-19 to hands-on roles as Chief Data Scientist designing ERP and optimization algorithms for sustainable manufacturing. Comfortable bridging research and production, he combines rigorous probabilistic modeling with practical engineering to optimize media spend, production workflows, and decision-making. An interdisciplinary thinker, he often applies physics and digital media engineering perspectives to data problems, producing solutions that cut cost, time, and CO2 in real-world systems.
11 years of coding experience
7 years of employment as a software developer
PhD, Computational Social Science, PhD, Computational Social Science at Københavns Universitet - University of Copenhagen
Python package for detecting stops in trajectory data
Contributions:67 commits, 9 PRs, 64 pushes in 3 years 11 months
pythondetectingtrajectorypython-packagestops
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