Laurent Condat
- Senior Research Scientist, Computer Science
I am a senior researcher working in optimization, in the group of Prof. Peter Richtárik.
Biography
Dr. Laurent Condat received his Ph.D. in Applied Mathematics in 2006 from Grenoble Institute of Technology, France. Following a postdoc at Helmholtz Zentrum München, Germany, he joined the French National Center for Scientific Research (CNRS) in 2008 as a permanent researcher. He worked at GREYC, Caen, before moving to GIPSA-Lab, Grenoble, in 2012. From 2016 to 2019, he served as a member of the French National Committee for Scientific Research. Since 2019, he has been on leave from the CNRS and is currently a Senior Research Scientist at KAUST.
He is a Senior Member of the IEEE and a Senior Area Editor of IEEE Transactions on Signal Processing. His recognitions include a Best Student Paper Award at IEEE ICIP 2005, the Best Ph.D. Award from Grenoble Institute of Technology, and several Meritorious Reviewer Awards. Since 2020, he has been listed among the world’s top 2% most influential scientists by Stanford University.
Research Interests
Dr. Condat’s research focuses on continuous optimization and its applications in machine learning, including deterministic and stochastic algorithms, convex relaxations and applications to machine learning in signal and image processing.
Professional Profile
Awards and Distinctions
- Best student paper award at the conference IEEE ICIP 2005, 2005
- Best Ph.D. award, Grenoble Institute of Technology, 2007
- Meritorious Service Award from Mathematical Programming, 2023
Professional Memberships
- Senior Member, IEEE, 2019
Qualifications
Education
- Doctor rerum naturalium (Dr. rer. nat.)
- Applied Mathematics, Grenoble Institute of Technology (INPG), France, 2006
- French
- Native or bilingual proficiency
- English
- Full professional proficiency
- German
- Elementary proficiency
