Gergely Lukács studied Electrical Engineering at the Budapest University of Technology and TU Wien. He received his Ph.D. in Information Systems from Universität Karlsruhe (now Karlsruhe Institute of Technology) in 2002. Following his doctorate, he worked at the Computer Science Research Centre in Karlsruhe and at a spin-off company, focusing on data integration and analysis in the fields of environmental science and management. Currently, he is an Associate Professor at the Faculty of Information Technology and Bionics at Pázmány Péter Catholic University in Budapest, where he also leads the Data.Media.Community lab. He teaches courses including Database Systems I and II, as well as Data Mining and Machine Learning.
His research interests cover scalable data processing, media (with a particular emphasis on audio media), and social network mining through collaborative projects. His current research focuses on the intersections between Large Language Models and his areas of expertise, such as vector databases, GenAI applications in database management, text-to-SQL technologies, and the use of GenAI to support data analysis and traditional machine learning tasks.