Golnoosh Babaei

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About

Golnoosh Babaei is a leading researcher at the intersection of artificial intelligence, financial technology, and explainable AI (XAI). Her work focuses on developing transparent machine learning models for complex financial systems, particularly in the emerging field of crypto asset allocation. Babaei’s most influential contribution, "Explainable artificial intelligence for crypto asset allocation" (2022), has garnered 74 citations, establishing her as a pioneer in applying XAI to volatile cryptocurrency markets. This research addresses a critical gap: how to make AI-driven investment decisions interpretable for human traders and regulators. Her earlier work on the same topic (2021) laid the groundwork for this approach, demonstrating how explainability can build trust in automated financial systems. Babaei’s contributions are particularly notable for bridging the gap between cutting-edge AI techniques and practical financial applications, offering a roadmap for responsible innovation in decentralized finance. Her research not only advances algorithmic trading but also raises important questions about transparency, accountability, and ethics in AI-driven markets—making her work essential reading for anyone interested in the future of fintech and responsible AI.