Sean Holman

Sean Holman is a Senior Lecturer in Applied Mathematics at The University of Manchester, Department of Mathematics. His research interests include inverse problems, geometry, and partial differential equations. He is also the PGR director for the applied mathematics group. Holman's work contributes to the Sustainable Development Goals, specifically SDG 3 and SDG 9. He is involved in various research projects and has published in journals such as Inverse Problems and the Journal of the Mechanics and Physics of Solids. His research group focuses on Industrial and Applied Mathematics, particularly in areas such as inverse eigenstrain problems and image reconstruction.

Sean Holman is a researcher in the Department of Mathematics at the University of Manchester, specializing in Inverse Problems, PDEs, and Differential Geometry. His work focuses on mathematical methods for imaging and inverse problems, with applications in medical imaging, photoacoustic tomography, and geodesic X-ray transforms. He has published extensively on topics such as microlocal analysis, direct inversion techniques, and the reconstruction of metrics from boundary data. His research also includes the development of data-consistent neural networks for solving nonlinear inverse problems and the study of elastic-gravitational equations. Holman's contributions span both theoretical and applied mathematics, with an emphasis on the interplay between geometry and inverse problems.