Guangyuan Gao

About the Author

Guangyuan Gao is a distinguished statistician and actuary whose work bridges the gap between advanced statistical modeling and practical applications in the insurance industry. With a PhD in statistics and extensive experience in Bayesian methods, Gao has dedicated his career to developing innovative tools for risk assessment and financial forecasting. His seminal book, 'Bayesian Claims Reserving Methods in Non-life Insurance with Stan: An Introduction,' serves as a comprehensive guide for professionals and researchers seeking to implement probabilistic models using the Stan programming language. Gao's contributions have influenced actuarial practices worldwide, emphasizing accessible yet rigorous approaches to uncertainty quantification. Currently, he lectures at a leading university and consults for major insurance firms, continuing to advance the field through his research and publications.