Daniel Herman is a data scientist and former Ph.D. cosmologist based in Oslo with eight years of experience turning complex astrophysical datasets into actionable models. His Ph.D. thesis "Cosmoglobe: Deconstructing the microwave sky" and prior master's work focused on Bayesian and Gibbs-sampling methods to separate Galactic foregrounds from cosmic microwave background signals, reflecting deep expertise in probabilistic inference and large-scale data pipelines. Currently at chronos.ai, he applies scientific rigor to production data problems while also leading community initiatives as President of the Oslo Ultimate Community Hub. He has a proven track record of building teams and programs—coaching and founding ultimate clubs—demonstrating leadership that spans technical research and grassroots organization. Comfortable bridging academia and industry, he combines mathematical physics training with hands-on coding and data analysis to solve noisy, high-dimensional problems. Colleagues value him for both technical depth in statistical cosmology and his knack for turning collaborative communities into high-performing teams.
8 years of coding experience
4 years of employment as a software developer
University of Oslo
Bachelor of Arts (B.A.), Mathematics and Physics, Bachelor of Arts (B.A.), Mathematics and Physics at Luther College
Doctor of Philosophy - PhD, Cosmology, Doctor of Philosophy - PhD, Cosmology at Universitetet i Oslo
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Daniel Herman - President at FURUSET IDRETTSFORENING