Igor Kossaczký gained a masters degree in Financial Mathematics in 2014 from the Comenius University in Bratislava and a PhD (Dr. rer. nat.) in Mathematics in 2018 from the University of Wuppertal. In his previous work on numerical methods for PDEs in computational finance, he was mainly focused on the tree-grid methods for the HJB equation. Currently he works on deep learning as a data scientist.