Dr. Runhuan Feng is an Associate Professor of Actuarial Science and the Director of Actuarial Science, State Farm Companies Foundation Scholar at the University of Illinois at Urbana-Champaign. He is a Fellow of the Society of Actuaries and Chartered Enterprise Risk Analyst. He has published extensively on top-tier finance and actuarial journals and his research interests include equity-linked insurance, retirement planning and InsurTech innovations. He led the Society of Actuaries' first industry survey on nested stochastic modeling and performed subsequent research study to create resources for financial reporting actuaries on computational methods to speed up nested simulations. Runhuan has keen interest on risk analysis and data analytics for regulation and public policy making. His work in collaboration with State Universities Annuitants Association and state legislators led to a legislative proposal to address the underfunding issue of the Illinois retirement systems. He published a book with the CRC Financial Mathematics Series -- an introduction to computational risk management of equity-linked insurance.

BEN MINGBIN FENG is an assistant professor in the Department of Statistics and Actuarial Science at the University of Waterloo. He earned his Ph.D. in Industrial Engineering and Management Sciences at Northwestern University in 2016. Dr. Feng's research interests include stochastic simulation design and analysis, optimization via simulation, nonlinear optimization. He is particularly interested in applying state-of-art stimulation and optimization methodologies to financial and actuarial applications. Dr. Feng has served as a track coordinator for the Winter Simulation Conference since 2019 and is currently serving as an editor for the Proceedings of 2020 Winter Simulation Conference.

Currently a full time as a consultant at the Aon PathWise Solutions Group, developing a compression library which helps clients to increase their model efficiency for complex stochastic-on-stochastic (SoS) valuations. I am a PhD candidate in Statistical Sciences at the University of Toronto. My research focuses on developing efficient simulation algorithm for large variable annuity portfolios valuation and hedging. I have obtained the ASA, ACIA and CERA credentials and I am now working towards the FSA designation.