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Angela Meyer is an Assistant Professor at TU Delft specializing in energy meteorology and artificial intelligence. She obtained her PhD in atmospheric physics from ETH Zurich after earning her master’s degree in mathematics from the University of Cambridge. Meyer has also gained valuable industry experience as a data scientist at Hexagon AB and served as co-leader of an R&D program at Siemens Smart Infrastructure. Her research interests lie at the intersection of data science, atmospheric science, and their applications in energy. Currently, she leads a research group focusing on machine learning applications for renewable energy at Bern University of Applied Sciences. This group is supported by the Swiss National Science Foundation and Innosuisse, among others. Key publications include advancements in solar forecasting and probabilistic forecasting of surface solar radiation. Meyer is actively involved in multiple grants and projects related to innovative research in her fields.
TU Delft • Delft, Netherlands
Teaching and conducting research in energy meteorology and artificial intelligence.
Requirements apply generally across engineering and science master programs. Specific tracks like Architecture require a digital portfolio.