Christine De Mol (born 23 April 1954) is a Belgian applied mathematician and mathematical physicist interested in inverse problems, regularization, wavelets, and machine learning, and known for her work on proximal gradient methods and the application of proximal gradient methods for learning. She is a professor of mathematics at the Université libre de Bruxelles, and the former chair of the SIAM Activity Group on Imaging Science.