Fabio Sigrist is a lecturer at the Lucerne University of Applied Science and Arts (HSLU) and at ETH Zurich. His research and project interests include data science and applied statistics. After obtaining a PhD in statistics from ETH, he has worked as risk management consultant in the financial sector. He has lead several data science projects with Swiss and European companies.
- SME default prediction using novel data sources and machine learning techniques (11:15 - 11:45 / Track 3)