Rachel Morris
Rachel Morris
Embedded Files
Mathematics Postdoc at Concordia University
Department of Mathematics & Statistics
1400 De Maisonneuve Blvd. W.
Montreal, QC H3G 1M8
Currently, I am a Postdoctoral Fellow at Concordia University in the Mathematics and Statistics department, working with Jason Bramburger and Simone Brugiapaglia.
Currently, I am a Postdoctoral Fellow at Concordia University in the Mathematics and Statistics department, working with Jason Bramburger and Simone Brugiapaglia.
For research, I am broadly interested in the mathematical foundations of data science. One direction of my research applies techniques from geometric measure theory and calculus of variations in order to study data-motivated optimization problems. More specifically, I study properties of adversarially robust Bayes classifiers, which arise from image classification problems.
For research, I am broadly interested in the mathematical foundations of data science. One direction of my research applies techniques from geometric measure theory and calculus of variations in order to study data-motivated optimization problems. More specifically, I study properties of adversarially robust Bayes classifiers, which arise from image classification problems.
I am also passionate about teaching and creating an interactive, supportive, and inclusive learning environment for all students. I participated in NC State's "Preparing the Professoriate" professional development program as part of the 2023-2024 cohort.
I am also passionate about teaching and creating an interactive, supportive, and inclusive learning environment for all students. I participated in NC State's "Preparing the Professoriate" professional development program as part of the 2023-2024 cohort.
Contact me at: rachel (dot) morris (at) mail (dot) concordia (dot) ca
Contact me at: rachel (dot) morris (at) mail (dot) concordia (dot) ca
[replace ( ) with the appropriate symbol]
Page updated
Google Sites
Report abuse