Martin holds a master’s degree with honours in Mathematics at Faculty of Mathematics, Physics and Informatics, Comenius University Bratislava. After the studies he has switched domain into machine learning and artificial intelligence, starting off with classification tasks and anomaly detection in the financial sector including detection of fraudulent transactions but also in the energy sector, where he tried to detect anomalies in time series data. Apart from that he also works on recommendation systems and how to make them trustworthy, which ends up being a multi-objective optimization problem that can be solved using various algorithms.
Besides that he is interested in computer vision, physics informed neural networks and some parts of NLP.



