Ties Robroek

PhD Fellow

Ties is a postdoctoral researcher 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. He then obtained a PhD in fall of 2024 at ITU, under the supervision of Pınar Tözün.

His current research activities focus on improving accessibility and sustainability of Deep Learning, with special emphasis on data loading. Besides Machine Learning, he is interested in the acceleration of algorithms and graphics via graphics cards. You can visit his personal website at trobroek.nl.