I am a PhD student at the Department of Mathematical Statistics, supervised by Professor Andreas Jakobsson, and a member of the Statistical Signal Processing group. I am mainly focused on sparse recovery problems and convex relaxation methods with applications in spectral estimation, audio processing, and spectroscopy. On June 2 2017 I defended my thesis Sparse Modeling of Harmonic Signals for the degree of Licentiate in Engineering in mathematical statistics (teknologie licentiat i matematisk statistik).

I am a big fan of classical, contemporary, and electroacoustic music and have studied classical guitar with Leif-Åke Wiklund at Falun Conservatory of Classical Music.

New stuff

• Journal paper on applying our optimal sampling techniques to NMR spectroscopy experiments published in Journal of Physical Chemistry A: Rapid NMR Relaxation Measurements Using Optimal Non-Uniform Sampling of Multi-Dimensional Accordion Data Analyzed by a Sparse Reconstruction Method. Joint work with Göran Carlström and Mikael Akke. 
• Preprint on using optimal mass transport for solving inverse problems available at arXiv: Multi-Marginal Optimal Mass Transport with Partial Information.
• Two new conference papers accepted for EUSIPCO 2019: "Offline Noise Reduction Using Optimal Mass Transport Induced Covariance Interpolation" and "Defining Graph Signal Distances Using an Optimal Mass Transport Framework".