Research

I'm currently working on my Master's thesis at Chalmers University of Technology. My current project is about Active Feature Acquisition (AFA), where I am investigating different AFA methods and their performance. In the past, I have worked as research assistant on various research projects related to uncertainty quantification in computer vision models, causality in deep diffusion models, and scaling generative models in natural sciences.

Current Projects

• Master Thesis about Active Feature Acquisition — Investigating AFA methods with Morteza Haghir Chehreghani and the ML&DM Lab
  Chalmers University of Technology, August 2025 — June 2026

Past Projects

• AFABench: A Benchmark for Active Feature Acquisition — To prepare for the master thesis, worked on creating a benchmark for AFA methods with Morteza Haghir Chehreghani and the ML&DM Lab
  Chalmers University of Technology, June 2025 — August 2025
  Preprint on arXiv
• Scaling Generative Models in Natural Sciences — Helped Simon Olsson and the AIMLeNS lab to scale up generative models, specifically for molecular dynamics.
  Chalmers University of Technology, June 2025 — August 2025
• Causality in Deep Diffusion Models — Investigated how diffusion models can learn and represent causal relationships in data with Moritz Schauer and Richard Torkar .
  Chalmers University of Technology, January 2025 — June 2025
  Project Page
• BSc Thesis — ClaudesLens: Uncertainty Quantification in Computer Vision Models — Implemented and evaluated uncertainty quantification methods for image classification with Moritz Schauer.
  Chalmers University of Technology, January 2024 — June 2024