My overarching goal is to accelerate scientific and technological progress using machine learning and optimization. Before moving to Uppsala University, I mainly worked on applications to medical imaging and radiotherapy planning. Some of these are described in more detail below. Recently, however, I’ve also made new forays into scientific computing, rechargeable batteries, and astrophysics.

For a complete list of publications, please refer to my Google Scholar page.

Optimization for diffusion MRI

Our open-source library for numerical optimization of diffusion MRI experiments enables cutting-edge imaging technology on clinical scanners.

Automated radiotherapy planning

Radiotherapy planning is complex and time consuming. I’ve made dozens of inventions, primarily based on machine learning and optimization, that can guide or automate parts of the radiotherapy workflow.