I am a PostDoc at the Novo Nordisk Foundation Center for Basic Metabolic Research (NNF CBMR) in Copenhagen.
Nearly all of my work you can find currently under the github of the RasmussenLab.
Currently I'm working a lot on self-supervised deep learning models for MS-based proteomics imputation. See the PIMMS repository and the bioRxiv pre-print. You might also be interested to checkout a comparison based on PIMMS on an Alzheimer dataset: rasmussenlab.org/pimms
- lab wesite for technical notes (based on Sphinx, deployed via GitHub)
- ProteoBench - focus on software parameter file parsing
ProteoBench is an open and collaborative platform for community-curated benchmarks for proteomics data analysis pipelines. Our goal is to allow a continuous, easy, and controlled comparison of proteomics data analysis workflows.
- creating and curating a Python package template