Marco Iglesias is Associate Professor in Scientific Computation in the School of Mathematical Sciences at the University of Nottingham. His research focuses on inverse problems, uncertainty quantification and scientific machine learning, developing mathematical and computational methods for extracting reliable information from incomplete and noisy data. He has made contributions to ensemble Kalman methods for inverse problems and currently works on learning-enabled inversion, including neural operators and AI-accelerated scientific computing.
His research is strongly interdisciplinary, with applications spanning geophysics and environmental monitoring, advanced manufacturing, the built environment and medical imaging. He collaborates extensively with researchers in engineering, geoscience and medicine, as well as with public-sector and industrial partners. Before joining Nottingham, he held research positions at the University of Warwick and Massachusetts Institute of Technology. He received his PhD in Computational and Applied Mathematics from the University of Texas at Austin.
