Summary
Fabian Karst is a doctoral candidate in Information Systems at the University of St. Gallen who applies generative AI and synthetic data techniques to tackle fraud detection and enable secure interbank transaction data sharing. With eight years of experience spanning research, tech internships (Microsoft, PwC, Accenture) and leadership at the St. Gallen Symposium, he bridges business strategy and hands-on ML engineering. He has led cross-functional teams to build participant platforms, CRM-integrated automations, and event-scale streaming infrastructures while shaping innovation strategy for a global community. Fabian’s research uniquely addresses temporal graph structures and extreme class imbalance in financial transaction synthesis, aiming to make data collaboration both practical and privacy-preserving. Comfortable moderating high-level discussions and shipping production tools, he combines academic rigor with product-minded delivery. Based in St. Gallen, he’s focused on the intersection of business and AI and looks for partnerships that turn research prototypes into real-world impact.
8 years of coding experience
3 years of employment as a software developer
Master of Arts - MA Banking and Finance, Master of Arts - MA Banking and Finance at University of St.Gallen
Master of Science - MSc Business Analytics, Master of Science - MSc Business Analytics at Esade
The University of Melbourne