Marc obtained his PhD in machine learning at KU Leuven, focusing on scalable machine learning, modeling strategies for imperfect labeling and automation of data analysis pipelines.
Nico has been working on MSI data analysis for his entire professional career, obtaining his PhD on the topic at KU Leuven. In addition to the application of machine learning in MSI, his expertise includes computer vision and methods for image registration.
Thomas is a full-stack Clojure developer and data systems architect with background in machine learning and data visualization in the life sciences domain.
Peter is an expert in machine learning (ML) with a proven track record in various industries. His expertise spans the full breadth of ML, ranging from algorithmic research up to production deployment of reliable ML-powered systems.
Alice is a biologist with over 10 years’ experience in mass spectrometry, including five in research and development at Bruker Daltonik GmbH, Germany. She completed her PhD, BSc Hons (Pathology) and BA (Art History) at the University of Melbourne, Australia.