معرفی
Simon Foucart is a Professor in the Department of Mathematics at Texas A&M University, affiliated with the College of Arts & Sciences, and serves as Associate Director of the Institute of Data Science. He holds a PhD from the University of Cambridge (2005) and prior degrees from Ecole Centrale Paris and the University of Cambridge's Part III Math Tripos. His research focuses on Mathematical Data Science, Compressive Sensing, and Approximation Theory, with applications in Engineering and Bioinformatics.
Key roles include Editorial Board memberships for major journals like Journal of Approximation Theory and Constructive Approximation. He has supervised numerous PhD students and postdocs, including current advisee Thomas Winckelman. Notable awards include the Presidential Impact Fellow (2019) and Heilbronn Distinguished Visiting Fellow (2024).
His publications span optimal recovery, sparse recovery algorithms, neural network theory, and computational frameworks. Recent work emphasizes algorithmic solutions for data science challenges, including low-rank matrix recovery and graph signal processing. His software contributions include MATLAB packages like MinProj and Basc for approximation and optimization tasks.
Teaching includes graduate courses on Mathematical Data Science and approximation theory, supported by his textbook Mathematical Pictures at a Data Science Exhibition. He has held visiting positions at institutions such as the Isaac Newton Institute and Los Alamos National Laboratory.
