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.

Mengjie Zhao is a passionate Ph.D. researcher at the IMOS lab, EPFL, specializing in developing graph-based methods to model and understand the complex dynamics of industrial systems. With a solid foundation in computational mechanics, she is driven by a commitment to solving real-world challenges that remain at the frontier of research and application. Beyond academia, Mengjie is an active contributor to the Swiss startup ecosystem. Her entrepreneurial spirit fuels her ambition to transform cutting-edge research into innovative products that address critical industry needs.