Kurt Brendlinger is a research scientist and data scientist with 11 years’ experience applying big-data analytics and AI to energy systems and particle physics. Currently at TH Lübeck and Fraunhofer IEE, he develops AI-driven state forecasting, fault-location and optimization tools to improve reliability and cost-efficiency of grids with high shares of wind and solar. Previously he led analysis teams on terabyte-scale datasets for the ATLAS experiment at CERN, helping define detector power/cooling requirements and deploy collaboration-wide algorithms for particle identification. Kurt combines hands-on algorithm development with experience managing distributed scientific teams and supercomputing workflows, and his background in building low-latency selection and classification systems informs his work on real-time grid operation. Based in Hamburg, he bridges fundamental physics rigor with practical engineering to accelerate the transition to a zero-carbon electrical grid.
11 years of coding experience
1 year of employment as a software developer
BS, Intensive Physics, BS, Intensive Physics at Yale University
PhD, Physics, PhD, Physics at University of Pennsylvania
Contributions:4 PRs, 59 pushes, 3 branches in 3 years 10 months
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Kurt Brendlinger - Scientist At TH Lübeck And Fraunhofer IEE