I am currently a postdoctoral researcher at the University of Eastern Finland as part of the inverse problems research group. I currently work on inverse problems in functional and quantitative MRI.
Research Interests:
My general research interests lie in using techniques from mathematical optimization, numerical mathematics and probability theory/statistics in inverse problems, image processing and machine learning. In particular, the theory and application of regularization strategies and prior modeling.
Methods
Topics:
- constraints & sparsity
- uncertainty quantification
Examples:
- Monotonic Gaussian processes
- Self-supervised conformal prediction
Applications
Topics:
- inverse problems
- imaging
Examples:
- Fast-ion tomography
- EIT with partial data
- MRSI
Theory
Topics:
- regularization
- priors
- well-posedness
Examples:
- Regularized Gaussians
Software & Tools
Topics:
- inverse problems
- imaging
Examples:
- Implicit priors in CUQIpy
- CTGuesser
Previous positions:
Until September 2025, I was a postdoctoral researcher at the Technical University of Denmark as part of the CUQI research project on Computational Uncertainty Quantification for Inverse Problems. I worked on the use of tools from mathematical optimization for modeling and sampling in Bayesian inverse problems.
