Christine De Mol
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Christine De Mol (born 23 April 1954) is a Belgian applied mathematician and mathematical physicist interested in inverse problems,
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, 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.


Education

De Mol was educated at the Université libre de Bruxelles, earning a
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in physics in 1975 and a Ph.D. in 1979, with a dissertation ''Sur la régularisation des problèmes inverses linéaires'' under the joint supervision of Jean Reignier and Mario Bertero.


Career

De Mol became a researcher for the Belgian National Fund for Scientific Research (FNRS), obtaining a permanent position there in 1981 and becoming a director of research in 1996. Meanwhile, she had obtained a
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from the Université libre de Bruxelles; her habilitation thesis was ''Super-résolution en microscopie confocale''. In 1998 she gave up her position with the FNRS, becoming an honorary researcher with them, to become a full professor at the Université libre de Bruxelles. She was head of the mathematics department at the university for 2009–2010, and chair of the
Society for Industrial and Applied Mathematics Society for Industrial and Applied Mathematics (SIAM) is a professional society dedicated to applied mathematics, computational science, and data science through research, publications, and community. SIAM is the world's largest scientific socie ...
Activity Group on Imaging Science for 2012–2013.


References


External links

* {{DEFAULTSORT:De Mol, Christine 1954 births Living people Belgian mathematicians Belgian physicists Belgian women mathematicians 21st-century women physicists Université libre de Bruxelles alumni Academic staff of the Université libre de Bruxelles