Educational Background (in reverse chronological order)：

• 2009–2014: Stanford University, Finance, Ph.D. (Full-time)
• 2012–2013: Stanford University, Statistics, MS (Full-time)
• 2008–2009: Harvard University, Physics, A.M. (Full-time)
• 2005–2009: Harvard University, Math & Physics (double major), A.B., Minor in Economics, French Language Citation (Full-time)

Work Experience (in reverse chronological order)：

• 2026–Present: Nanyang Technological University, President’s Chair Professor；Nanyang Business School, Associate Dean and Professor (Banking and Finance); College of Computing and Data Science, Professor (AI and Data Science)
• 2025–Present: Shenzhen Loop Area Institute (SLAI), Strategy Committee Member; Center of AI for Social Science, Founding and Senior Advisory Director
• 2025–Present: Centre for Economic Policy Research (CEPR), Research Fellow
• 2024–Present (on unpaid leave): Cornell University, The Rudd Family Endowed Chair Professor of Management & Professor of Finance, Founding Director of the FinTech Initiative
• 2022–Present: Asian Bureau of Finance and Economic Research (ABFER), Founding Program Director and Senior Fellow
• 2022–Present: National Bureau of Economic Research (NBER), Research Associate
• 2019–2024: Cornell University, The Rudd Family Endowed Chair Professor of Management Associate Professor of Finance (Tenured since 2021)
• 2014–2019: University of Chicago, Booth School of Business, Assistant Professor of Finance; Center for East Asian Studies, Faculty Member

Cong is the NTU President’s Chair Professor of Finance, Computing and Data Science, and an Associate Dean of Nanyang Business School. He is also the Rudd Family Endowed Chair Professor at Cornell University, a Finance Editor at the Management Science, a faculty scientist at IC3, the chief scientist at HoloBit, inaugural senior economic advisor at Chainlink Labs, and a lead founder of multiple research forums. He was formerly a Kauffman Foundation Junior Faculty Fellow, a UBRI Educator of the year, a Poets & Quants 40 under 40 World Best Business School Professor, a 2022 Top 10 Quant Professor. A world-leading scholar for AI, digital economics, and financial technology, he pioneered the studies of blockchain economics, tokenomics, AI for Finance, etc., and has won numerous paper prizes and research grants, spoken at hundreds of world-renowned universities, venture funds, investment and trading shops, and central banks. He has also advised leading investment and FinTech and investment firms and various government agencies.