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Anthea Monod is an Associate Professor in the Department of Mathematics at Imperial College London, specializing in Machine Learning. She is the Co-Director of the £10M EPSRC Mathematical Computational Foundations Artificial Intelligence Hub: 'Erlangen Programme', which focuses on innovative research in applied computational topology, geometric machine learning statistics, and mathematical computational biology. Anthea obtained her PhD from the Swiss Federal Institute of Technology in Lausanne (EPFL) in 2012. Before joining Imperial College, she held postdoctoral positions at prestigious institutions including Technion–Israel Institute of Technology, Duke University, Columbia University in New York, and Tel Aviv University. Her work encompasses various aspects of applied computational algebraic geometry and topological data analysis. Anthea is actively involved in promoting academic collaboration and advancing research opportunities in her field.
Imperial College London • London, United Kingdom
Associate Professor in Mathematics and Machine Learning.
Imperial College London • London, United Kingdom
Associate Professor in Mathematics and Machine Learning.
Imperial College London • London, United Kingdom
Lecturer in Biomathematics.
Specialisms available in Materials for the Energy Transition or Theory and Simulation of Materials.