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

• 2025-07-03 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
• 2025-02-28 I gave a presentation at the PhD course on sequential Monte Carlo (SMC) at Linköping University, giving some examples on how SMC can be used together with diffusion models and LLMs. Slide can be found here.