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Hi, I’m Rasmus. I graduated with a Master’s degree in Mathematical Modelling and Computation with a focus on machine learning. For my thesis “Exploring foundation models for auditory attention decoding” I tested transformer-based models for both audio and EEG data modalities with quite promising results. The future scope of auditory attention decoding is embedding the models within hearing aids, such that incoming sound can be filtered based on the individuals attention recorded through scalp EEG.

I am fascinated by mathemathics, machine learning, and understanding how large scale systems work.

This site showcases acts as a portfolio for some of my projects, and tells a bit about myself. This site was built with Quarto and is compiled from Quarto-Markdown files to HTML through a GitHub Actions workflow.

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