About
I am a Professor at UBC specializing in computational inverse problems, machine learning, and geosciences.
My work focuses on the development of stable numerical methods for deep learning, often motivated by
Partial Differential Equations (PDEs) and dynamical systems.
I was named a SIAM Fellow in 2022.
Research Interests
- Machine Learning: NeuroODEs, PDE and NeuroDAEs
- Machine Learning: Reversible architectures, PDE-GCNs, and stable DNNs.
- Inverse Problems: Large-scale optimization and parameter estimation.
- Geophysics: 3D electromagnetic problems, resistivity inversion, and mineral mapping.
Software & Projects
- CompGeo: Public repositories for computational geosciences.
- InvertibleNetworks.jl: Scalable normalizing flows (collaborative).
- TANGO: Graph Neural Dynamics via learned energy flows.