Gloria Polinesi

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About

Gloria Polinesi is a leading researcher at the intersection of network science, financial technology, and artificial intelligence. Her work focuses on developing network-based models to enhance the transparency and efficiency of robot-advisory services—automated platforms that help individuals manage their savings. In her highly cited 2021 paper, “Network models to improve robot advisory portfolios,” Polinesi introduced novel frameworks that leverage network theory to optimize asset allocation, making financial advice more accessible and user-friendly. This work has garnered 22 citations and is recognized for bridging complex systems analysis with practical fintech applications. Beyond this flagship study, Polinesi has contributed to the broader discourse on algorithmic decision-making in finance, emphasizing how network structures can reduce costs and improve service quality. Her research is particularly impactful for students and practitioners interested in the future of personalized finance, demonstrating how interdisciplinary approaches can democratize investment management. Polinesi’s achievements include invitations to speak at international conferences on fintech and network science, solidifying her reputation as a thought leader in the evolving landscape of digital finance.