In this episode of Streamlining Insurance, Darren speaks with Zhiyu Frank Quan, Ph.D. and Panyi Dong, researchers at the University of Illinois Urbana-Champaign who recently co-authored “Automated Machine Learning in Insurance.” Together, they explore how automation and machine learning are reshaping actuarial science, underwriting, and risk management. We’ll also connect the dots to practical implementation—how insurers can move from academic theory to real-world tools that improve efficiency, reduce costs, and enable better decision-making.