I was born in Hungary and spent my childhood in a small town called Barcs located next to the Croatian border.
I obtained my M.Sc. degree in Computer Engineering (from Hungarian it is often translated as Technical Informatics) at Budapest University of Technology and Economics, Budapest, Hungary. I also studied one semester Biomedical Engineering (Anatomy and Biochemistry) in a program organized by Budapest University of Technology and Economics, Semmelweis University and Szent István University.
At the moment I am a Computer Science Ph.D. student at University of Rochester.
Research interests: Markov logic, probabilistic graphical models, and machine learning in general. I am working with Prof. Henry Kautz on Markov logic related projects (using constraint programming to simplify Markov logic networks, expoloiting temporal structure of problem domains to reduce complexity of training and inference) and with Prof. Len Schubert on a new characterization of probabilities in Bayesian networks. As a continuation of my summer project at SRI International, with Dr. Shalini Ghosh we are investigating how we can incorporate the knowledge of domain experts into a Markov logic network within the framework of Bayesian statistics.