Zoltán is a PhD at JADS under the supervision of Prof. Maurits Kapten and dr. Aurelie Lemmens. His main focus is on combining Active Learning and Causal Learning.
PhD in Statistics, 2018-
MSc in Economics, 2016
University of Amsterdam
BA in Applied Economics, 2012-2015
Eötvös Loránd University
Worked on Deep Learning for predictive maintenance
After graduating from my Masters, I started to focus on working in ML related fields and after 1.5 years of professional experience I returned to academia to pursue a PhD. My day-to-day research still involves working closely with companies, but I have also TAd for courses, supervised MSc students and taught introductory programming.
I enjoy making good espresso with a 20 year-old La Pavoni