Scholar
Courtney Paquette
Google Scholar ID: EkeZG30AAAAJ
McGill University
Citations & Impact
Citations
1,089
H-index
17
i10-index
18
Publications
20
Co-authors
20
list available
Contact
Publications
Resume (English only)
Research Experience
- Postdoctoral position in Industrial and Systems Engineering at Lehigh University, worked with Prof. Katya Scheinberg
- NSF postdoctoral fellow (2018–2019) in the Department of Combinatorics and Optimization, University of Waterloo, with Prof. Stephen Vavasis
- 20% appointment as a Research Scientist at Google DeepMind, Montreal
- Lead organizer of the OPT-ML Workshop at NeurIPS since 2020
- Lead organizer and original creator of the High-dimensional Learning Dynamics (HiLD) Workshop at ICML
Background
- Assistant Professor, Department of Mathematics and Statistics, McGill University
- CIFAR AI Chair (MILA)
- Active member of the Montreal Machine Learning Optimization Group (MTL MLOpt) at MILA
- Research focuses on designing and analyzing algorithms for large-scale optimization problems motivated by data science
- Uses techniques from probability, complexity theory, convex and nonsmooth analysis
- Studies scaling limits of stochastic algorithms and high-dimensional learning dynamics
