Frederik Mikkelsen is a Lead Machine Learning Scientist based in Copenhagen with 12 years of experience applying rigorous statistical and computational methods to real-world problems. He holds a PhD in Statistical Computing from the University of Copenhagen and has progressed through research and industry roles—culminating in recent leadership positions at SupWiz and Puzzel—where he blends structured, reproducible workflows with creative experimentation. His expertise spans statistical software development, model selection, risk estimation, and machine learning for nonlinear ODE systems, informed by a visiting research stint at Stanford. Colleagues rely on him to translate advanced theory into production-ready solutions while continually challenging assumptions and trying novel approaches.
12 years of coding experience
7 years of employment as a software developer
Master's degree, Statistics, Master's degree, Statistics at Københavns Universitet - University of Copenhagen
STX, Matematik A, Fysik A, Kemi B, STX, Matematik A, Fysik A, Kemi B at Frederiksberg Gymnasium
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Frederik Mikkelsen - Lead Machine Learning Scientist at Puzzel