Summary
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
Studentereksamen, Mathematics & Physics, Studentereksamen, Mathematics & Physics at Gribskov Gymnasium
M.Sc / M.Eng, Digital Media Engineering, M.Sc / M.Eng, Digital Media Engineering at Danmarks Tekniske Universitet
Student Exchange, Student Exchange at National University of Singapore
Robert Koch-Institut
Visiting student researcher, master thesis, Visiting student researcher, master thesis at Weizmann Institute of Science
B.Sc / B.Eng, Physics and Nanotechnology, B.Sc / B.Eng, Physics and Nanotechnology at Technical University of Denmark