About me
Laurent Condat received a PhD in applied mathematics in 2006 from Grenoble Institute of Technology, Grenoble, France. After a postdoc in the Helmholtz Zentrum Muenchen, Munich, Germany, he was hired in 2008 as a permanent researcher by the French National Center for Scientific Research (CNRS). He worked in the GREYC, Caen and from 2012 in GIPSA-Lab, Grenoble. From 2016 to 2019, he was a member of the French National Committee for Scientific Research. Since Nov. 2019, he is on leave from the CNRS and a Senior Research Scientist in King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia.
Dr. Condat's main area of interest is continuous optimization and its applications to machine learning, signal and image processing. He is a senior member of the IEEE and an associate editor of IEEE Transactions on Signal Processing. He received a best student paper award at IEEE ICIP 2005, a best PhD award from Grenoble Institute of Technology, and several meritorious reviewer awards. Since 2020, he has been in Stanford's list of the world's top 2% most influential scientists.
