Chris Kuo is a seasoned data science professional with more than 25 years of experience applying advanced analytics across multiple industries. He has led high-impact data science initiatives in customer analytics, healthcare, fraud detection, and litigation support. He is also the inventor of a U.S. patent in data-driven solutions. Throughout his career, Chris has held leadership roles at several Fortune 500 companies in the insurance and retail sectors.
Chris earned a BS in nuclear engineering from National Tsing Hua University in Taiwan and a PhD in economics from the State University of New York at Stony Brook. He has published research in economics and management journals and is the author of several books on data science, including The Handbook of Anomaly Detection (2024), Modern Time Series Forecasting Techniques for Predictive Analytics and Anomaly Detection (2024), and Introduction to Statistics with Python: The Essential Guide to Data Analysis (2025), to name a few.
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