Summary
Juraj Kardoš is a seasoned power grid analyst and researcher focused on numerical optimization for complex energy systems. Based in Lugano, Switzerland, he serves as a postdoctoral researcher at USI and leads data analytics work in a joint project with DXT Commodities, applying stochastic and distributed optimization to power flow, grid security, and real-time market pricing. His work spans fundamental theory and practical tooling, leveraging modern solvers (Mosek, Gurobi, Cplex, Knitro, Ipopt) and modeling frameworks (Matpower, PowerModels.jl) to simulate energy storage, contingencies, and distribution-level flexibility. He brings a strong HPC and optimization background from roles at ETH Zürich, LLNL, and CSCs, with experience in high-performance computing, GPU/CUDA, and performance engineering. He has contributed to pan-European grid modelling and Flow-Based Market Coupling, focusing on PTDF forecasting, cross-border flows, and market coupling strategies—bridging academic insights with industrial needs. Notably, his work emphasizes scalable, data-driven decision support for power markets under uncertainty, delivering methods applicable to long-horizon planning and real-time operation.
11 years of coding experience
Bachelor of Science (BSc), Information Technology, Faculty of Information Technology, A, Bachelor of Science (BSc), Information Technology, Faculty of Information Technology, A at Brno University of Technology
USI Università della Svizzera italiana
English, German, Italian, Slovak, Czech