معرفی
Dr. Anthea Monod is an Associate Professor in Mathematics and Machine Learning at the Department of Mathematics, Imperial College London, within the Faculty of Natural Sciences. She is Co-Director of the £10M EPSRC-funded Mathematical and Computational Foundations of Artificial Intelligence Hub (Erlangen AI Hub) and leads a research group of over 20 members including postdocs, PhD students, and undergraduates. Her research integrates algebraic topology, algebraic geometry, and computational methods to address challenges in machine learning, mathematical biology, and data analysis.
Dr. Monod earned her PhD from the Swiss Federal Institute of Technology in Lausanne (EPFL). She previously held postdoctoral and visiting roles at institutions including the Technion, Duke University, Columbia University, and Tel Aviv University. Her work spans applied topology (e.g., topological data analysis), algebraic statistics, geometric machine learning, and computational biology.
Her current research priorities include developing topological tools for analyzing neural network activations, advancing geometric approaches to AI, and applying algebraic methods to biological data. Key projects include cycle matching for high-dimensional neural activation patterns and tropical geometry-based graph kernels.
- Grants: £10M EPSRC Hub for AI Foundations (EP/Y028872/1)
- Awards: Turing Global Fellows Fund (2024) for student Yueqi Cao
- Labs/Teams: Co-Director of Erlangen AI Hub, member of Imperial's Biomathematics Group and AI Network
