Description
Marcel Haas is assistant professor of data science in population health at the Leiden University Medical Center. He did BSc and MSc in Astronomy in Utrecht and graduated on an observational MSc thesis on star clusters in the Whirlpool Galaxy. His PhD in Leiden focused on properties of synthetic galaxy populations in cosmological simulations. Then he did two postdocs in the United States of America, focusing on synthetic observations created from simulations that aided HST, JWST and MeerKAT observational planning or interpretation, again based on theoretical and numerical models of galaxies. He switched to data science in 2013, moving back to the Netherlands and became an “extronomer”. He set up a data science team at healthcare insurance provider, where he also did work on business intelligence and fraud detection. After 5 years he went on to a position as senior consultant and data science trainer, where he focused both on technical (building data science products) as well as strategic (advising managers and board rooms on how to organize their data science activities) consulting. He also worked as lead data scientist at the business intelligence department of the University of Amsterdam.
