Simone Brugiapaglia

My research in a nutshell

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!

Education

• Ph.D. Mathematical Models and Methods in Engineering (cum laude) 
  Polytechnic University of Milan, Italy, 2016.
• M.Sc. Mathematics (cum laude). University of Pisa, Italy, 2012.
• B.Sc. Mathematics (cum laude). University of Pisa, Italy, 2010.

Positions

• 2024-now: Associate Professor at Concordia University, Montréal, QC, Canada. 
• 2019-2024: Tenure-track Assistant Professor at Concordia University, Montréal, QC, Canada. 
• 2016-2019: Postdoctoral Fellow at Simon Fraser University, Burnaby, BC, Canada.
• 2016: Postdoctoral Fellow at École polytechnique fédérale de Lausanne, Switzerland. 

Fellowships and Awards

• 2023: Concordia University Research Fellow 
• 2019: IMA 19th Leslie Fox Prize for Numerical Analysis (2nd place) 
• 2017: Spotlight talk prize at the SFU Postdoc Research Day 2017 
• 2016–18: Postdoctoral fellowship from the PIMS Postdoctoral Training Center in Stochastics 
• 2012–15: PhD scholarship from the Italian Ministry of Education, Universities and Research. 
• 2010–12: INdAM Scholarship for graduate students 
• 2007–10: INdAM Scholarship for undergraduate students