Thesis supervisor Accepting inquiries
On this page
Supervised programs: Mathematics and Statistics (MA, MSc), Mathematics and Statistics (PhD)
Research areas: Mathematics of Data Science, Computational Mathematics, Numerical Analysis
Simone Brugiapaglia is an Associate Professor of Mathematics and Statistics at Concordia University. He received his PhD in Mathematical Models and Methods in Engineering from Politecnico di Milano (MOX Laboratory) in 2016. Dr. Brugiapaglia was a post-doctoral fellow at École polytechnique fédérale de Lausanne (EPFL) in Spring 2016 and at Simon Fraser University from 2016 to 2019, where he held a Postdoctoral Training Centre in Stochastics Fellowship from the Pacific Institute for the Mathematical Sciences (PIMS) from 2016 to 2018. He was awarded a Leslie Fox Prize for Numerical Analysis by the Institute of Mathematics and its Applications (IMA) in 2019 and obtained the title of Concordia Research Fellow in 2023. Dr. Brugiapaglia is the author of more than 30 scientific publications, including two books, book chapters, peer-reviewed journal articles, and conference proceedings. His work has been published in venues such as SIAM Journal on Mathematics of Data Science, Foundations of Computational Mathematics, Mathematics of Computation, Neural Computation, Neural Networks, Numerische Mathematik, and IEEE Transactions on Information Theory. He has supervised more than 20 trainees at the post-doctoral, graduate and undergraduate levels. His research interests include mathematics of data science, machine learning, numerical analysis, and their applications.
I am a numerical analyst passionate about developing and analyzing algorithms for solving challenging problems in data science and computational mathematics. My current research interests include the mathematics of deep learning, compressed sensing, high-dimensional approximation, and numerical methods for partial differential equations. For more info, check out my website!
© Concordia University