About me

I’m a WASP Fellow, ELLIS member, and assistant professor in Artificial Intelligence (AI) at Uppsala University. My research interests are primarily in machine learning and optimization.

Prior to joining Uppsala University, I was a senior research scientist at the radiotherapy company Elekta where I was also an industrial PhD student affiliated with Linköping University.

At Elekta, I did research on machine learning, optimization and medical image analysis (MRI in particular) which resulted in more than 25 patent applications. I’m particularly proud of the work on dose optimization which formed the basis for Leksell Gamma Knife Lightning.

Open positions

I’m hiring a postdoc in machine learning for battery timeseries data! The focus is on unsupervised machine learning, with me and Leiting Zhang as supervisors.

The aim of this interdisciplinary position is to develop unsupervised machine learning methods for extracting dynamical models of battery degradation from multimodal timeseries data, with a focus on interpretability. The underlying data comprises high-frequency acoustic emission (AE) measurements, paired with electrochemical measurements, from operating batteries. The position is funded by COMPEL (COMPetitiveness for the ELectrification of the Transport System), a strategic initiative from the Swedish government to ensure Sweden’s long-term competitiveness in battery development and the electrification of the transport sector.

Working with me

I’m always on the lookout for curious and self-driven people as well as exciting collaborations (with both industry and academia) that align with my research vision. If that may be you, please get in touch!