Lin William Cong is the Rudd Family Professor of Management and an Associate Professor of Finance at Cornell University SC Johnson College of Business. He is also the founding faculty director for the FinTech Initiative at Cornell, a faculty scientist at the Initiative for Cryptocurrencies and Contracts, and a research associate at the National Bureau of Economic Research. He was formerly a finance faculty member at the University of Chicago Booth School of Business, a Kauffman Junior Faculty Fellow, a Poets & Quants World Best Business School Professor, and a George Shultz Scholar at the Stanford Institute for Economic Policy Research. He co-founded international research forums such as CBER-Forum.org and ABFR-Forum.org, and serves on multiple conference committees and editorial boards, including being a Finance Editor for the Management Science. He has advised and consulted for leading FinTech and investment firms including a16z, Ava Labs, Blackrock, Chainlink, Dfinity, and Modular Asset Management, in addition to being invited to provide consultation, testimony, and training to government agencies such as the Asset Management Association of China, Bank of Canada, U.S. Department of Justice, the Federal Bureau of Investigation, Monetary Authority of Singapore, New York State Department of Financial Services, the New York State Office of Attorney General, and the Securities and Exchange Commission.
Cong’s research is interdisciplinary and spans financial economics, information economics, applied economic theory, FinTech, digital economics, entrepreneurship, and China, with a recent focus on the intersection of data science, finance, and technology. He and coauthors have pioneered adapting AI to finance, laid the foundations of tokenomics, analyzed competition and incentive provision in blockchains and DeFi, explored information design in finance, and initiated financial applications of secure multi-party computation, among others. His research also provided early warnings for the environmental damages of cryptocurrency mining pools, and potential collusion, market manipulation, and power concentration, some of which have served as the scientific basis of ongoing FinTech litigations and legislations. His work has been featured in top academic journals and media such as Bloomberg, CNN, Financial Times, and Washington Post, and is recognized with over 40 conference best paper prizes and competitive grants. He is also a frequent speaker for conference keynotes, public lectures, and industry events, and has presented and taught at hundreds of world-renowned universities, venture funds, tech firms, quant shops, and regulatory agencies.