Zoltán earned his MSc degree in Physics from Eötvös Loránd University. He is currently a PhD candidate and junior research fellow at the Department of Physics of Complex Systems at ELTE.

He worked as an intern at Morgan Stanley for a year on callable bond pricing models and for three years on quantum computing applications in financial modeling as part of the Cooperative Doctoral Scholarship Program.

Zoltán has experience in bioinformatics, machine learning, financial modeling and quantum computing.
His main research interests are the advantage of quantum computing for financial modeling, quantum accelerated Monte Carlo pricing and quantum-based models for financial modeling and time series generation.