Elyne Scheurwegs

Elyne Scheurwegs is a data science and data engineering professional with a focus on unifying clinically relevant data and developing machine learning models to enhance outcome predictions at UZA since January 2018. Prior experience includes serving as a PhD student at the University of Antwerp from January 2014 to December 2017 and as a research assistant at UZA in late 2013, where Elyne was involved in mining associative rules in datasets. Elyne holds a PhD in Informatics from the University of Antwerp (2014-2017), a Master of Science in Applied Engineering: Electronics - ICT from Artesis Hogeschool Antwerpen (2012-2013), and a Bachelor of Applied Science in the same field from Artesis Hogeschool Antwerpen (2007-2012).