My research focuses on the application of machine learning (ML) algorithms for economic decision-making, particularly in the context of consumer financial distress.
My ongoing doctoral dissertation aims to examine the potential of ML algorithms to predict and mitigate the risks associated with financial distress.
Throughout my PhD studies, I have participated in multiple workshops and seminars, presenting my research findings.
Delivering lectures and TA sessions as part of the following courses:
17034 - Quantum I: Data-Driven Decision Making, Helsinki (2021-2023)
26030 - Empirical Methods in Economics, Helsinki (2021)