Regular biography
Dr Anthea Monod is a Reader in Mathematics and Machine Learning at the Department of Mathematics, Imperial College London. Her work focuses on mathematics and machine learning, though specific research details are not provided. Dr Monod is affiliated with Imperial College London and contributes to academic research in these areas. Further information about her research and achievements can be found on her profile page.
Scholar-generated biography
Anthea Monod is an Associate Professor in the Department of Mathematics at Imperial College London, specializing in Applied Algebraic Geometry, Topological Data Analysis, and Mathematical Biology. Her research focuses on integrating topological methods with data analysis to address complex biological and mathematical problems. She has published extensively on topics such as topological and functional data analysis in clinical contexts, immune infiltrates in melanoma, and the application of tropical geometry to phylogenetic tree spaces. Her work also explores statistical methods for persistent homology, random fields, and machine learning models, emphasizing the intersection of algebraic structures with data science and biological systems.