Ruben Hemelings is a graduate student in Artificial Intelligence / Big Data at the Catholic University of Leuven. In collaboration with the Flemish research organisation VITO, he is currently researching the application of deep learning on retinal images in order to improve early diagnosis of ocular and cardiovascular diseases. Ruben also holds a business engineering degree from the Solvay Brussels School of Economics and Management, and went on an exchange program in Canada. Prior to his interest in data, he considered a career in finance, illustrated by summer internships at ING, Deloitte and PwC. In his spare time, you can often find him playing the piano or having a go at tackling Kaggle challenges.
Join his Ignite speech on “Deep learning on biomedical images” at diSummit 2017 !