Guocheng Liao
Papers
1
Total Citations
3
H-Index
1
About
Guocheng Liao is a rising scholar whose work bridges information economics, privacy theory, and data-driven decision-making. His research centers on the fundamental tensions between individual privacy, social welfare, and the statistical properties of data acquisition. Liao’s most-cited paper, “The Privacy Paradox and Optimal Bias–Variance Trade-offs in Data Acquisition” (2024), offers a novel theoretical framework to explain why users often claim to value privacy yet fail to protect it—a phenomenon known as the privacy paradox. He demonstrates that this paradox can be understood through the lens of the bias–variance trade-off: when an individual shares data, the privacy of others is also compromised, creating a social cost that distorts optimal data collection. By formalizing this trade-off, Liao provides a rigorous foundation for designing privacy-preserving mechanisms that balance individual incentives with societal data utility. Though early in his career, with 3 citations to date, his work has already attracted attention for its elegant synthesis of economic and statistical concepts. Liao’s contributions are particularly relevant for researchers in privacy economics, algorithmic fairness, and data regulation, offering a fresh perspective on how to reconcile conflicting demands in the age of big data.
Research Focus
Key Achievements
Top Papers
- 1