dr Paweł KROPIŃSKI FCCA

Dr. Paweł Kropiński's research interests focus on economic uncertainty and information asymmetry in the context of the microstructure of financial markets. His primary focus is the impact of social media, such as Google Trends and Twitter, on investment decisions and market transparency. He applies graph theory and machine learning methods to model complex financial phenomena. His research includes models for detecting episodes of information asymmetry, tools for analyzing market networks, and studies on the impact of social media signals on risk perception.

He earned his PhD in Economics and Finance from the Poznań University of Economics in 2025. He has spent years working with banking and investment institutions, particularly Shore Capital Group and NatWest Bank in London.

He completed a research project under the NAWA program at Queensland University of Technology, where he assessed the usefulness of open-source LLM language models in identifying warning signals and market crises.