Machine Learining Researcher working on my PhD Thesis as part of the Digital Signal Processing and Image Analysis group in the Department of Informatics at the University of Oslo.
I am interested in Bayesian paradigms and probabilistic machine learning techniques, particularly generative modelling, normalizing flows, invertible neural networks, and encoder/decoder models. I am also looking at attention mechanisms in vision transformers, graph neural networks, as well as representation learning and methods for incorporating contextual priors in deep learning.
From a mathematical perspective, I am interested in representation theory, linear- and functional analysis, and Lie groups. In terms of applied mathematics and signal processing, I am interested in frame theory, information theory, and generalised Fourier- and wavelet analysis.