Summary
David Melhart is an Assistant Professor and researcher with 11 years of experience at the intersection of game AI, affective computing, and user/player modelling. He holds a PhD in Games Research and has advanced human-in-the-loop annotation and general affect modelling for games, blending technical engineering with qualitative methods. His background spans academia and industry—leading platform and visualization engineering at modl.ai while coordinating summer schools, conference panels, and editorial duties for IEEE journals. David’s work is notable for combining full-stack tool building and datasets with ethical reflection on Game AI, and he frequently translates research into practical annotation tools and community resources. Based in Denmark, he brings a rare mix of product-oriented engineering, academic rigour, and event leadership that shapes both research and practitioner communities.
11 years of coding experience
6 years of employment as a software developer
Supplementary studies in a Bachelor of Arts (BA)programme, Communication and Media Studies, Supplementary studies in a Bachelor of Arts (BA)programme, Communication and Media Studies at Corvinus University of Budapest
Bachelor of Arts (BA), Political Science and Government, Bachelor of Arts (BA), Political Science and Government at Pázmány Péter Katolikus Egyetem
Master of Arts (MA), Cognition & Communication, Master of Arts (MA), Cognition & Communication at Københavns Universitet
Doctor of Philosophy - PhD, Computer Games and Programming Skills, Doctor of Philosophy - PhD, Computer Games and Programming Skills at University of Malta
English, Hungarian