Christine De Mol facts for kids
Christine De Mol, born on April 23, 1954, is a brilliant scientist from Belgium. She is an expert in applied mathematics and mathematical physics. She studies how to solve tricky "inverse problems" and uses special math tools like "wavelets" and "machine learning."
Christine De Mol is also known for her work on "proximal gradient methods," which are advanced ways to solve complex math problems, especially in machine learning. She teaches mathematics as a professor at the Université libre de Bruxelles. She also used to lead a group called the SIAM Activity Group on Imaging Science, which focuses on how math can help with images.
Her School Days
Christine De Mol studied at the Université libre de Bruxelles. She earned her first university degree in physics in 1975. Later, in 1979, she completed her Ph.D. Her Ph.D. research was about solving "inverse problems" using a method called "regularization." Her teachers, Jean Reignier and Mario Bertero, helped guide her studies.
Her Career Journey
After finishing her studies, Christine De Mol became a researcher for the National Fund for Scientific Research (FNRS) in Belgium. She got a permanent job there in 1981 and became a research director in 1996.
During this time, she also earned a special qualification called a "habilitation" from the Université libre de Bruxelles. Her research for this qualification was about improving the sharpness of images in special microscopes.
In 1998, she left her full-time role at FNRS to become a full professor of mathematics at the Université libre de Bruxelles. She even led the mathematics department at the university from 2009 to 2010. From 2012 to 2013, she was the chair of the Society for Industrial and Applied Mathematics (SIAM) Activity Group on Imaging Science. This group brings together scientists who use math to understand and create images.
