Sophie Morin (Polytechnique Montréal, IVADO), since Summer 2025, co-mentored with Serge Prudhomme (Polytechnique Montréal)
Rachel Morris, since Fall 2025, co-mentored with Jason Bramburger
Yannick Castonguay-Page, since Fall 2026, co-supervised with Jason Bramburger
Daniel Fassler, since Fall 2025, co-supervised with Jason Bramburger
Samir Karam, since Summer 2023, co-supervised with Galia Dafni
Rahul Padmanabhan, since Winter 2025
Shalini Sivajeyan (MASc, Thesis), since Fall 2025, co-supervised with Behrooz Yousefzadeh (Concordia, MIAE)
Hyunwoo Yoon (MSc, Thesis), since Fall 2026, co-supervised with Jason Bramburger
PDF3. Sina Mohammad-Taheri (Concordia), Fall 2025-Summer 2026
PDF2. Aaron Berk (IVADO, CRM Applied Math Lab, McGill), Fall 2021 - Summer 2023
Co-mentor: Tim Hoheisel (McGill)
PDF1. Weiqi Wang (Horizon Postdoctoral Fellow, Concordia), Fall 2021 - Winter 2023
VPDF1. Giuseppe A. D'Inverno (Post-doc, SISSA), Winter-Summer 2025
PhD1. Sina Mohammad-Taheri (PhD, Concordia), Fall 2020-Summer 2025
Thesis: Greedy sparse recovery algorithms: from weighted generalizations to deep unrolling [Download]
VPhD2. Caterina Gallegati (University of Siena), Summer 2025
VPhD1. Giuseppe Alessio D'inverno (University of Siena), Winter 2023
Co-supervisor: Mirco Ravanelli (Concordia, CSSE)
MS9. Christopher Turcotte (MSc Thesis, Concordia), Fall 2024-Summer 2026
Co-supervisor: Lea Popovic
MS8. Javad Roustaei (MSc Thesis, Concordia), Fall 2020-Summer 2025
Co-supervisor: Cody Hyndman
Thesis: Narrative Signals from Bank Filings as Early-Warning Indicators: Unsupervised NLP with Regime-Switching Models [Download]
MS7. Serly Ishkhanian (MA Thesis, Concordia), Fall 2022-Summer 2025
Co-supervisor: Weiqi Wang (University of Victoria)
Thesis: Disentangling the AI black-box model: From direct to indirect influence [Download]
MS6. Daniel Fassler (MSc Thesis, Concordia), Fall 2023-Summer 2025
Co-supervisor: Jason Bramburger
Thesis: Finite-data Error Bounds for Approximating the Koopman Operator [Download]
MS5. Rahul Padmanabhan (MSc Thesis, Concordia), Fall 2020-Winter 2025
Thesis: Deep Learning Approximation of Matrix Functions: From Feedforward Neural Networks to Transformers [Download]
MS4. Paul Glickman (MSc Thesis, Concordia), Fall 2021-Fall 2024
Thesis: When Noise Helps Learn: Approximate Impossibility in Identity Effects for Deep Neural Networks [Download]
MS3. Kylian Ajavon (MA Thesis, Concordia), Winter 2022-Winter 2024
Co-supervisor: Pawel Gora
Thesis: Surrogate Models for Diffusion on Graphs: A High-Dimensional Polynomial Approach [Download]
MS2. Samir Karam (MSc Thesis, Concordia), Fall 2022-Winter 2023 (fast-tracked to PhD)
Co-supervisor: Galia Dafni
MS1. Matthew King-Roskamp (MSc Thesis, Simon Fraser University) Fall 2018-Summer 2020
Co-supervisor: Ben Adcock (Simon Fraser University),
Thesis: Global guarantees from local knowledge: Stable and robust recovery of sparse in levels vectors [Download]
UG16. Marianna Braud (Concordia)
Honours project, Fall 2025, co-supervised with Sina Mohammad-Taheri (Concordia)
Project Title: Numerical methods for stiff ODEs: from fixed step size to adaptivity
UG15. Étienne Dyer (Concordia)
Honours Project, Summer 2025, co-supervised with Giuseppe Alessio D'Inverno (SISSA)
Project title: Graph Neural Diffusion: An Analysis of Stability in Graph Neural Networks
UG14. Yuka Kato (Concordia)
Honours Project, Winter 2024, co-supervised with Lisa Kakinami
Project title: Understanding Body Composition and Demographics in NHANES: An Exploratory Data Analysis Through Visualizations
UG13. Rocco Trinci (Concordia)
Honours project, Summer 2023, co-supervised with Aaron Berk (McGill)
Project title: Black-box auditing and algorithmic fairness in statistical learning
UG12. Shamita Datta (Shri Mata Vaishno Devi University)
MITACS Globalink Intern, Summer 2022
Project title: Comparison of l1 minimization, IHT and NSIHT algorithms for compressed sensing
UG11. Marco Mignacca (Concordia)
NSERC USRA, Summer 2023, co-supervised with Jason Bramburger
Project title: Data-Driven Approximation of the Koopman Operator using Wavelet Bases
NSERC USRA, Summer 2022, co-supervised with Galia Dafni
Project title: An Exploration of Wavelet Methods for PDEs: Bases, Dictionaries, and Random Features
UG10. Samir Karam (Concordia)
Honours Project, Summer 2022, co-supervised with Weiqi Wang
Project title: Physics-informed neural networks and classical methods for solving ordinary and partial differential equations
UG9. The Minh Nguyen (Concordia)
Concordia USRA, Summer 2022, co-supervised with Aaron Berk (McGill)
Project title: Visualizing the expressivity of deep learning: Low-dimensional journeys in high-dimensional worlds
UG8. Serly Ishkhanian (Concordia)
Honours Project, Winter 2022
Project title: Matrix completion, convex relaxation, and the Netflix Prize
UG7. Brendon Thomson (Concordia)
CUSRA, Summer 2021, co-supervised with Giovanni Rosso
Project title: Number Theory meets Machine Learning
UG6. Amanda Gu (McGill)
BIOL 490 Honours Project, Summer 2020-Winter 2021, co-supervised with Eric Pedersen (Concordia, Biology)
Project title: Coefficient Recovery Using Compressive Sensing on Lotka-Volterra Models of Ecosystem Dynamics
UG5. Kylian Ajavon (Concordia)
Honours Project, Fall 2021
Project title: High-dimensional polynomial approximation: From theory to practice
Concordia USRA, Summer 2021
Project title: Sparse Approximation of Diffusion Processes on Networks from Limited Data
Undergraduate research assistant, Summer 2020
Project title: A numerical exploration of generative compressed sensing
UG4. Zi Jian Chen (Concordia)
Co-op research internship, Summer 2020
Project title: Loss Function on the Resilience of Deep Neural Network Against Gaussian Noise and Sparse Corruption
UG3. Matthew Liu (Concordia)
Undergraduate research assistant, Fall 2019-Summer 2020
Project title: Rating impossibility theorems for identity effects with neural networks
UG2. Einar Gabbassov (Simon Fraser University)
NSERC USRA, Summer 2018, co-supervised with Ben Adcock (Simon Fraser University)
UG1. Matthew King-Roskamp (Simon Fraser University)
NSERC USRA, Summer 2017, co-supervised with Ben Adcock (Simon Fraser University)