I am a PhD student at the Division of Statistics and Machine Learning. My research has focused on method development of machine learning methods, in particular deep learning, for graph-based data. The research is often interdisciplinary, with the search for new materials as the main application. My research has involved working with discriminative models like graph neural networks for prediction of material and molecular properties, but lately I have focused mostly on generative models, in particular so called diffusion models.
For more information about me, see my personal website. For a complete list of publications, see my Google Scholar.
