Casualty Actuarial Society Announces 2025 Individual Grant Recipients

The Casualty Actuarial Society (CAS) is pleased to announce its individual grant research recipients for 2025. They include:
- “Designing Bonus-Malus Systems Under Frequency-Severity Dependence” by Asrar Alyafie and Jorge Yslas
- “Using Large Language Models to Generate New Features from Text Data for Loss Prediction” by Guojun Gan and Christopher Shultz
- “Catastrophic Risk Pooling in the Era of Climate Change” by Fan Yang, Didier Serre, and Yuxuan Guo
- “Loss Reserving with Textual Description of Claims” by Gee Y. Lee and A. Nii-Armah Okine
- “Enhancing Crop Yield Predictions Using Spatio-Temporal Dependence Modeling, Bayesian Frameworks, and an R Library Development” by Mélina Mailhot and Marie Michaelides
- “Agentic Artificial Intelligence Models for Actuarial Workflows” by Robert Richardson and Josh Meyers
- “Enhancing Tilted Density Estimation in Reinforcement Learning (RL) for Optimized Risk Management” by Xing Wang and Jackie Siaw Tze Wong
- “Secure Actuarial Data Collaboration Engine (SCALE) using Federated Learning, Zero Knowledge Proofs, and Encryption Techniques” by Lu Xiong and David Koegel
- “AI-Driven Cyber Breach Risk Prediction: Capturing Complex Dependence via Deep Learning Models” by Maochao Xu (Co-sponsored with the Society of Actuaries)
Grant proposals are submitted through the Individual Grants Competition, jointly sponsored by the Casualty Actuarial Society and the Society of Actuaries’ Committee on Knowledge Extension Research. Projects may be theoretical or empirical in nature, but the key criterion is that the research should be a significant contribution to the advancement of knowledge in actuarial science. The nine CAS-funded projects were selected by the Research Grants Task Force, chaired by Don Closter, ACAS, from 17 proposals.
"These projects underscore the importance of actuarial science in our ever-changing world,” said Morgan Bugbee, FCAS, CAS Vice President–Research and Practice Advancement. “From climate change to cyber risk to artificial intelligence, these projects will support CAS members as they develop new skills, apply new techniques and advance in their profession.”
An announcement for submitting proposals for the 2026 Individual Grants Competition will be announced this fall.