Simon Tindemans

Dr. Simon Tindemans serves as an Associate Professor in the Intelligent Electrical Power Grids group at TU Delft, where he specializes in uncertainty and risk management for power systems. His unique academic journey began with a PhD from Wageningen University in theoretical biophysics, followed by positions as Research Fellow and Marie Curie Intra-European Fellow at Imperial College London. At TU Delft, he combines expertise in electrical engineering, computational statistics, and computer science to advance power system reliability and flexibility. His research portfolio includes groundbreaking work in decentralized control of thermostatic loads, safety-constrained reinforcement learning, and data-driven power system operations. He actively contributes to IEEE task forces and working groups under the Risk, Reliability and Probability Applications Subcommittee of the IEEE Power and Energy Society. As an educator, he teaches courses on power system reliability, machine learning, and resource planning, while championing open science principles through open access, data, and source code. His work has garnered significant recognition, with his research on decentralized control of thermostatic loads and safety-constrained reinforcement learning being particularly influential in the field of power systems and energy flexibility.