Welcome to my research page.

Currently you can find my updated publication list and some news. These pages may be gradually extended.

FAME: Flagship of Advanced Mathematics for Sensing, Imaging and Modelling
We are part of the new Finnish Flagship granted by the Research Council of Finland on Applied Mathematics and Inverse Problems. We are looking forward to a productive and exciting time as Flagship of Inverse Problems in Finland: (link).

Learned Reconstruction Methods With Convergence Guarantees: A survey of concepts and applications
In our new survey paper published in the IEEE Signal Processing Magazine, we discuss learned image reconstruction methods that come with convergence guarantees. Helping us to understand these methods theoretically and challenging the notion that learned approaches are pure black-boxes: (link).

Nuorten Tiedeakatemia - Young Academy Finland
I am honoured to be elected as member of the Young Academy of Finland for a 4 year term. (link).

Academy Research Fellow: Accurate Imaging with Sound and Light (AI-SOL)
The project will concentrate on providing necessary methodological advances to enable large-scale 3D photoacoustic imaging for in vivo applications. The funding will allow for one PhD student within the project, related announcements will follow. The news from the academy can be found here: (link).

Deep learning in photoacoustic tomography: current approaches and future directions
Our review with Ben Cox is published in the journal for biomedical optics. We put learned image reconstruction within photoacoustic tomography into context, review different approaches and provide a tutorial style introduction for others who want to get started. (Paper link).

Sawing Optimization via Deep Learning and Multi-instrument Imaging
New grant approved by the Academy of Finland for a 2 year project (2020-2022) with Lassi Roininen (LUT) and Ozan Öktem (KTH) on optimizing sawing patterns to improve sustainability in the sawing industry.