Qihong Ruan 阮启宏

I am an Economist, Data Scientist, and AI Researcher.

I received my PhD in Economics (2025) from the Department of Economics in the College of Arts and Sciences at Cornell University. During my PhD, I pursued studies in empirical asset pricing, market microstructure, digital assets, and AI for economics and finance. I also had research assistant experience in the econometrics of partial identification. My recent interest is building agent harnesses and multi-agent workflows that apply frontier reasoning models to accelerate and validate research in economics, finance, and data science.

I lead an independent research agenda, combining large-scale data construction with experimentation, causal inference, and machine learning to answer pressing economic questions. I have presented my work at Cornell University, the Hong Kong University of Science and Technology (Guangzhou), the Hong Kong Polytechnic University, the American Finance Association, the Northern Finance Association, the China Financial Research Conference, the Conference on Asia-Pacific Financial Markets (CAFM), the World Finance Conference, the Ripple University Blockchain Research Initiative (UBRI), and the Initiative for CryptoCurrencies and Contracts (IC3). I serve as a reviewer for Advances in Financial Technologies (AFT) 2026, and have experience refereeing and editing for economics, finance, and management journals. I also collaborate with scholars across the globe.