Projects

From ideas to experiments

Explore what our teams are building.

Adversarial ML in Anti-Money Laundering

Ongoing

Investigating adversarial attacks against machine learning models for anti-money laundering, with a focus on graph-based transaction networks, model robustness, and evasion of fraud detection systems.

Adversarial MLAnti-Money LaunderingGraph MLFraud Detection
ott 2026

Multicollinearity in Machine Learning

Ongoing

Investigating the impact of multicollinearity on statistical and machine learning models, with a focus on diagnosis, model stability, predictive performance, and feature attribution.

MulticollinearityXAI
ago 2026

Surrogate Multi-Fidelity Modeling for Financial Options Pricing Using Gaussian Processes

Developed a Multi-Fidelity Gaussian Process surrogate model for efficient financial option pricing.

Gaussian ProcessesMulti-Fidelity LearningFinance
ago 2026