Schedule


Friday, January 29, 2021: Virtual on Zoom. Registration required.

All times are Pacific Time.

Start End  
8:10 AM8:15 AMIntroductions
Mike Ludkovski, Chair, Statistics and Applied Probability; Co-Director, Center for Financial Mathematics and Actuarial Research
8:15 AM8:55 AMRon Richman (QED Actuaries)
The Actuary and IBNR Techniques: A Machine Learning Approach
8:55 AM9:35 AMStephen Mildenhall (Convex Risk LLC & St. John's U)
The Promise, Pitfalls and Process of AI
9:35 AM9:50 AMVirtual Coffee Break
9:50 AM10:30 AMMark Shoun (Ledger Investing)
Bayesian Model Stacking Applications in Loss Development
10:30 AM11:10 AMSteve Guo (Ball State U)
Patterns and Anomalies of Loss Development in P&C Insurance Market
11:10 AM11:50 AMGarth Johnson (Uber)
Pricing Data Science at UberEats
11:50 AM12:30 PMVirtual Lunch Break
12:30 PM1:10 PMKevin Kuo (RStudio)
Unblocking Insurance Analytics R&D with Open Data
1:10 PM1:50 PMGuojun Gan (U of Connecticut)
Self-Paced Probabilistic Principal Component Analysis for Data with Outliers
1:50 PM2:00 PMClosing Remarks