I am a PhD student in machine learning at Linköping University, supervised by Professor Fredrik Lindsten. I research deep learning methods with the discovery of new materials being the main motivation. This has resulted in works related to graph neural networks and diffusion models.

I am on the job market: I will graduate in November 2025 and I am looking for the next step in my career.

Latest News

• 2025-10-20 DDSMC is now implemented in the InverseBench codebase
• 2025-10-06 My PhD thesis is now available online! I’ll defend on November 7.
• 2025-07-03 Code for DDSMC is now out: https://github.com/filipekstrm/ddsmc
• 2025-05-01 Both WyckoffDiff and DDSMC were accepted to ICML! See you in Vancouver! 🚀🚀🚀🚀
• 2025-04-30 Code for our generative model for materials, WyckoffDiff, is now out: https://github.com/httk/wyckoffdiff