My current research focuses on probabilistic cognitive modeling of processing sequential auditory information and it follows two lines of investigation. First, I conduct behavioral experiments to explore how our brain infers acoustic sources in a noisy auditory environment. Second, I develop computational models that capture the brain’s mechanism for solving this problem.  

Qualifications:

PhD: 2016 –   
Pázmány Péter Catholic University
Faculty of Information Technology and Bionics, Supervisors: Prof. István Winkler, Prof. István Ulbert

MSc: 2011 – 2013   
Eötvös Loránd University
Actuarial and Financial Mathematics, Specialization: Quantitative Finance

BSc: 2008 – 2011
University of Szeged
Mathematics, Specialization: Applied Mathematics