LEAD AI Fellows
Meet the postdoctoral fellows who are a part of LEAD AI. The program is still recruiting fellows, and this list will be updated continously when new fellows join.
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| Robin Guillaume-Castel is from France, and is a LEAD AI postdoctoral fellow in Climate Science. In December 2024, he joined the Geophysical Institute of the University of Bergen and the Bjerknes Center for Climate Research. He is working on understanding future changes in extreme rainfall events using machine learning methods with Drs. Camille Li and Stefan Sobolowski. Before coming to Bergen, he completed his PhD in Toulouse, where he was focusing on understanding the general physics behind global warming and climate change. |
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| Jessa Henderson completed a Ph.D. in Human-Technology Collaboration with George Washington University. Prior to her Ph.D., Dr. Henderson spent a decade as a public-school teacher in the US where she taught high school social studies courses and, later, mentored teachers in areas of educational technology. Her research interests include topics of AI in education focusing on human agency and decision-making during human-computer interactions, the impact of GenAI on academic research, and pathways of responsibility and accountability for AI systems in education. Dr. Henderson is honored to be a part of the initial LEAD AI cohort with the Centre for the Science of Learning and Technology (SLATE) at the University of Bergen. |
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| Lisa Haarer works in the field of Medicinal Chemistry and she did her PhD at University of Tuebingen focusing on the synthesis of covalent inhibitors targeting protein kinases. As a part of LEAD AI Lisa Haarer will do her research at the Department of Chemistry, where she and her research group work on new chemical molecules to treat diseases, especially infectious disease. With the rise of antibiotic resistance, bacterial infections are predicted to become a main cause of death (again). Therefore, the need for new antimicrobial treatment options is increasing, to overcome the resistance and maintain the current health standards. The aim of her research project is to identify new chemical structures that can be used to treat bacterial infections. Therefore, they will design, synthesize and test new promising molecules. |
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| Lars M. Salbu has a PhD in Mathematics with a focus on foundations of Topological Data Analysis (TDA) from UiB. As a LEAD AI fellow he is joining the Machine Learning Group at the Department of Informatics working with Nello Blaser. His research concerns questions about the foundation of machine learning with a special focus on topological and geometrical methods. A main focus is the study of Reeb graphs as a way of reducing the dimensionality of complex data, and the development of approaches to find properties of the data from properties of these graphs. Lars also applies machine learning methods to TDA and explores their robustness. As part of the LEAD AI fellowship, he will visit the University of Seville in Spain. |