Raffael Theiler is a dedicated PhD student at the IMOS lab at EPFL. He holds a Master’s degree in "Neural Systems and Computation" from ETH and has a strong background in Neuroinformatics. Raffael’s research centers on the development of advanced AI-driven predictive algorithms, with a focus on applications in power generation and railway systems. His current work involves Transformer models for load forecasting and Graph Neural Networks to enhance short-term forecasting of pumped-storage hydroelectricity. Raffael is committed to translating his research into practical solutions, with the aim of founding a startup focused on state estimation technology.
