top of page





DEFT covers a broad range of research topics, including digital payments, blockchain-based systems, decentralized finance (DeFi), tokenomics, as well as AI modules tailored to portfolio management, asset pricing, or managerial decision-making. Through its research, the lab aims to provide insights into the transformative potential of these technologies for businesses, economies, and society as a whole.


DEFT is equally committed to supporting faculty and student research in digital economics and financial technology. The lab provides mentoring and grants to students, as well as data acquisition and career development opportunities. Additionally, the lab encourages diversity and inclusion, and women and other minority groups are well represented among its members. The lab especially strives to include more first-generation and socioeconomically disadvantaged members.

DEFT Lab is led by Prof. Lin William Cong, a world-renowned economist and founding scholar of the FinTech field who has researched extensively on the topics of digital economics, financial data science, blockchain, and financial innovation. Under his leadership, DEFT is committed to advancing the field of digital economics, FinTech, and Business AI applications through innovative research and collaboration with other researchers at Cornell and beyond. With its members' diverse background and interdisciplinary expertise, the lab is dedicated to creating an inclusive community and strives to make a positive impact on society by exploring the transformative potential of combining economics and technology for businesses and innovations.

DEFT Lab is sponsored by:


DEFT LAB Identifier RGB Cool Grey 11C and PMS 187C.jpg

The Digital Economics and Financial Technology (DEFT) Lab is a cutting-edge research lab generously sponsored by Ripple University Blockchain Research Initiative (UBRI) and the FinTech at Cornell Initiative. This research lab is committed to exploring the latest developments in financial technology, digitization, and artificial intelligence, with a particular focus on applications in finance and business economics.





bottom of page