Yilin Zhuo is a data scientist and economist specializing in causal inference, machine learning, and big data analytics. She holds a Ph.D. in Management Science from UCLA Anderson, where her research applied novel data sources—including digital trace and image data—to uncover insights into the interplay between mobility, criminal justice contact, and urban space. Her work has been published in top peer-reviewed economics journals, including the *Review of Economics and Statistics*, and presented at top academic conferences. Currently, Yilin is a Senior Data Scientist at Balbec Capital, a global investment firm specializing in alternative assets, where she develops automated housing valuation models (AVMs) and builds data infrastructure for real estate investments. Despite working in industry, she remains actively engaged in academic research to address questions in public policy, urban economics, and real estate. Passionate about using data-driven insights to inform decision-making, Yilin is committed to bridging the gap between rigorous research and real-world applications.