Nicole Ludwig

Nicole Ludwig serves as a Junior Professor and Principal Investigator of the independent research group "Machine Learning in Sustainable Energy Systems" within the Cluster of Excellence – Machine Learning for Science at the University of Tübingen.

Education:

• PhD in Computer Science, 2020, Karlsruhe Institute of Technology
• MSc in Information Systems and Network Economics, 2016, University of Freiburg
• BSc in Economics, 2014, University of Freiburg

Ludwig's research focuses on applying machine learning techniques to sustainable energy systems, with particular emphasis on uncertainty quantification and the complex relationships between weather, climate, and energy systems. Her work integrates probabilistic approaches with time series analysis to address challenges in energy forecasting and management under uncertain conditions. She actively contributes to the development of methods for probabilistic forecasting and reinforcement learning applications in energy contexts.

Ludwig maintains an active presence in the machine learning research community, with contributions to open-source projects related to energy time series analysis. Her GitHub profile shows engagement with repositories focused on graph convolutional networks and energy time series motif discovery.