Interests
- Machine learning
- Climate science
- Fluid mechanics
- Geometric mechanics
Blog posts
Publications
- Scalable Interpolation of Satellite Altimetry Data with Probabilistic Machine Learning (2024)
- Gaussian Processes on Cellular Complexes (2024)
- Iterated INLA for State and Parameter Estimation in Nonlinear Dynamical Systems (2024)
- Co-located OLCI Optical Imagery and SAR Altimetry from Sentinel-3 for Enhanced Arctic Spring Sea Ice Surface Classification (2024)
- Scalable Data Assimilation with Message Passing (2024)
- Actually Sparse Variational Gaussian Processes (2023)
- Actually Sparse Variational Gaussian Processes (2022)
- Short-term Prediction and Filtering of Solar Power Using State-Space Gaussian Processes (2022)
- Iterative State Estimation in Non-linear Dynamical Systems Using Approximate Expectation Propagation (2022)
- Vector-valued Gaussian Processes on Riemannian Manifolds via Gauge Independent Projected Kernels (2021)