Ties RobroekPhD Fellow
Ties is a PhD Fellow working on Resource-Aware Machine Learning. Before joining ITU, he studied at the Radboud University Nijmegen (NL), where he graduated with a Masters degree in Data Science with a traineeship focussed on Massively-Parallel acceleration of Machine Learning (via graphics cards) at the University of Copenhagen.
His current research activities focus on improving accessibility and sustainability of Deep Learning. Besides Machine Learning, he is interested in the acceleration of algorithms and graphics via graphics cards. His PhD is supervised by Pınar. You can visit his personal website at trobroek.nl.