Thomas Arildsen is a quantitative developer with 13 years of experience blending academic research and industry work in energy commodities and signal processing. He transitioned from a decade-long academic career at Aalborg University—where he led research, teaching, and research IT consultancy around sparse signal processing and compressed sensing—to applied quantitative roles at Norlys Energy Trading. Skilled at bridging research and production, he supports data-driven science through infrastructure provisioning, consultation, and building quantitative models for energy trading. His background in optimization, coding theory and practical research IT gives him a rare combination of theoretical depth and hands-on implementation experience. Based in Aalborg, he brings a researcher’s rigor to commercial quantitative problems and a history of turning complex signal-processing concepts into usable systems.
13 years of coding experience
17 years of employment as a software developer
Ph.D., Optimization of Coding of AR Sources for Transmission Across Channels with Loss, Ph.D., Optimization of Coding of AR Sources for Transmission Across Channels with Loss at Aalborg University
Python bindings to a subset of the NUFFT algorithm
Contributions:18 commits, 8 PRs, 2 pushes in 1 year 9 months
pythonpython-bindingssubsetnufft
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