Date: Thursday, 25 September 2025
Time: 16:00–17:00
Location: University of Amsterdam, Science Park, LAB42 L2.07 and online via Microsoft Teams
Online: AI4Fintech Seminar | Meeting-Join | Microsoft Teams

The seminar features two talks.

The first talk, Machine Learning Practitioners’ Views on Data Quality in Light of EU Regulatory Requirements, will be given by Yichun Wang (University of Amsterdam). This presentation explores the alignment of data quality with EU regulatory requirements in machine learning. A framework and a survey among more than 180 EU-based data practitioners highlight the main challenges and recommendations for bridging technical expertise and regulatory compliance.

The second talk, Amortized Causal Effect Prediction for Financial Time Series, will be presented by Andreas Sauter (Vrije Universiteit Amsterdam & ING). This talk introduces a new model that applies causal inference to financial time series. The framework offers insights into stress propagation in credit default swaps (CDS) and demonstrates how interventional outcomes can be predicted more efficiently.

All are welcome to join the discussion. The seminar is open to both on-site and online participants.