Chair of Computational Mathematics and Data
The CMATD chair's research interests are broadly in computational mathematics for machine learning and scientific computing. All research topics are multidisciplinary in the sense that they intersect with various aspects of mathematics of data science, computational statistics, numerical analysis, and computer science.
The CMATD chair’s research interests are broadly in computational mathematics for machine learning and scientific computing. All research topics are multidisciplinary in the sense that they intersect with various aspects of mathematics of data science, computational statistics, numerical analysis, and computer science.