I develop, train, and evaluate machine-learning models for molecular and biological research. My work includes molecular representation learning, uncertainty quantification, and distributed training with PyTorch and JAX.
I am a postdoctoral researcher at DTU Compute through the end of 2026. My PhD thesis, Uncertainty and Evaluation in Molecular Machine Learning, is submitted, and I am awaiting my defense.
I hold degrees in Machine Learning & Data Science and Molecular Biomedicine. My experience includes experimental work on vaccine antigens and scientific software development at LEO Pharma.
I am interested in ML scientist and research engineer roles in Copenhagen.