Author name: Elara Vornik
Elara Vornik is a computational criminologist and algorithmic fraud specialist with 12 years of experience designing adaptive detection systems for global fintech and central banking institutions. Trained in machine learning at ETH Zürich and certified in AI Governance by the IEEE, she pioneered hybrid graph-neural architectures that reduce false positives by 43% in cross-border transaction monitoring. Her work integrates behavioral biometrics, adversarial robustness, and real-time explainability—bridging academic rigor with regulatory compliance.
