Peng Shi is a Professor in the Risk and Insurance Department, the Statistics Department, and the Data Science Institute at the University Wisconsin-Madison. He holds the Charles & Laura Albright Professorship in Business and Finance. Peng is an Associate of the Casualty Actuarial Society (ACAS) and a Fellow of the Society of Actuaries (FSA). Peng’s current research centers on the development and application of statistical and machine learning methods to enhance decision-making in insurance and risk management. He has worked in various capacities with companies in property, casualty, and health (re)insurance. He has won various research awards in actuarial science, including the Charles A Hachemeister Prize, American Risk and Insurance Association Prize, Ronald Bornhuetter Loss Reserve Prize, CAS Ratemaking Prize, and IAA Best Paper etc. He is a frequent speaker at CAS conferences, and is currently the Editor-in-Chief of the Variance Journal.
Disclosure information not submitted.
CS-31 - Privacy-Preserving Machine Learning for Insurance
Tuesday, May 7, 2024
9:45 AM – 10:45 AM East Coast USA Time