Steve Guo

Dr. Steve Guo explores cutting-edge topics in Risk Pricing and Capital Allocation, Predictive and Statistical Actuarial Modeling, and the Modeling of Aggregate Mortality Risk. As an Assistant Professor of Mathematical Sciences at the Department of Mathematical Sciences at Ball State University, he is dedicated to advancing the field of actuarial science through both his teaching and research. Dr. Guo earned his Ph.D. in Risk Management and Insurance from Georgia State University, where he developed a deep understanding of the complexities involved in risk assessment and management. Prior to his doctoral studies, he completed both his M.S. in Applied Statistics and his B.S. in Actuarial Science at Purdue University, equipping him with a robust foundation in statistical methodologies and actuarial principles. An Associate of the Society of Actuaries (ASA), Dr. Guo is recognized for his expertise in the actuarial profession. His research has been published in several esteemed journals, focusing on innovative capital allocation techniques and analyzing mortality trends as indicated by term insurance prices. His work contributes significantly to the understanding of how risk is priced and managed in the insurance industry. In the classroom, Dr. Guo is committed to fostering a comprehensive understanding of actuarial science among his students. He teaches courses such as Intro to Actuarial Science and Long-Term Actuarial Studies, where he integrates his research insights into the curriculum to provide students with a practical and theoretical understanding of the field. Dr. Guo's research interests are not only academically driven but also have practical implications for the insurance industry, particularly in the areas of predictive modeling and risk management strategies. His work aims to bridge the gap between theoretical research and real-world applications, ensuring that his findings are relevant and applicable to current industry challenges. Through his dedication to research and teaching, Dr. Guo continues to contribute to the advancement of mathematical sciences and actuarial studies, inspiring the next generation of actuaries and researchers to explore innovative solutions to complex problems in risk management and insurance.