Applied Mathematics Research Collaboratorium
Connecting faculty and students through research. Each session had several 15-minute talks by faculty, followed by time for students to talk with the speakers. Organized by Megan Morrison and Nathan Kirk, 2024–2025.
September 24, 2025
- Sonja Petrović: Can machine learning be used to predict the complexity of an algebraic algorithm?
- Michael Novack: An invitation to the calculus of variations (slides)
- Lane Chun Yeung: A glimpse into mean field particle systems and games (slides)
April 9, 2025
- Huiling Liao: Efficient rare event detection with guided sampling (slides)
- Hemanshu Kaul: An indiscreet invitation to discrete mathematics: a network across math (slides)
- Sonja Petrović: Can machine learning be used to predict the complexity of an algebraic algorithm?
November 20, 2024
- Trevor Leslie: Flocks and fluids: studying alignment dynamics with a PDE toolbox (slides)
- Igor Cialenco: Equity in every drop: quantitative methods for fair groundwater pricing and resource allocation
- Pawan Negi: Boundary integral based neural networks to learn solutions of elliptic PDEs (slides)