Dr. Rasmus Jensen is an independent researcher, data scientist, and consultant. He holds a PhD in Machine Learning and Artificial Intelligence from Aarhus University in Denmark, having conducted a research stay at Utrecht University in the Netherlands. Dr. Jensen has worked for systemically important banks in Denmark and the United Kingdom. His work on anti-money laundering and financial fraud has been published in leading scientific journals and ranks among the most cited in the field in recent years.
Qualifying and Raising Anti-money Laundering Alarms with Deep Learning
R. Jensen and A. Iosifidis (2023). Expert Systems with Applications.
https://doi.org/10.1016/j.eswa.2022.119037
Searching for Smurfs: Testing if Money Launderers Know Alert Thresholds
R. Jensen, J. Ferwerda, and C. Wewer (2023). arXiv.
https://arxiv.org/abs/2309.12704