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Designing Evidence-Based FinTech
for Real-World Impact.

My research focuses on developing evidence-based AI and FinTech solutions that help households strengthen their financial well-being, while supporting the UN Sustainable Development Goals.

 

Positioned at the crossroads of finance, information technology, and cognitive science, my work examines the behavioral and design drivers that shape how people adopt and benefit from digital financial services.

 

My current and upcoming projects translate these insights into practical, human-centered innovations, drawing on behavioral finance, Amartya Sen’s capability approach, and financial literacy research. I also collaborate with academic and industry colleagues from around the world, and I welcome partnerships with entrepreneurs and researchers who want to turn rigorous science into real-world impact.

Research Highlights

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One size does not fit all: Young retail investors’ initial trust in financial robo-advisors

This research identifies the unique determinants of trust for young investors adopting automated advisory tools, highlighting the need for demographic-specific Fintech strategies.

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Financial technology and financial capability: Study of the European Union

An empirical investigation across the EU exploring how digital financial innovation correlates with cross-border financial literacy and household empowerment.

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Financial robo-advisors: A scoping review and future research directions

Synthesizing current literature on robo-advisory, this scoping review identifies critical gaps and suggests future pathways for behavioral FinTech research.

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