Schedule
Friday, January 29, 2021: Virtual on Zoom. Registration required.
All times are Pacific Time.
| Start | End | |
|---|---|---|
| 8:10 AM | 8:15 AM | IntroductionsMike Ludkovski, Chair, Statistics and Applied Probability; Co-Director, Center for Financial Mathematics and Actuarial Research |
| 8:15 AM | 8:55 AM | Ron Richman (QED Actuaries)The Actuary and IBNR Techniques: A Machine Learning Approach |
| 8:55 AM | 9:35 AM | Stephen Mildenhall (Convex Risk LLC & St. John's U)The Promise, Pitfalls and Process of AI |
| 9:35 AM | 9:50 AM | Virtual Coffee Break |
| 9:50 AM | 10:30 AM | Mark Shoun (Ledger Investing)Bayesian Model Stacking Applications in Loss Development |
| 10:30 AM | 11:10 AM | Steve Guo (Ball State U)Patterns and Anomalies of Loss Development in P&C Insurance Market |
| 11:10 AM | 11:50 AM | Garth Johnson (Uber)Pricing Data Science at UberEats |
| 11:50 AM | 12:30 PM | Virtual Lunch Break |
| 12:30 PM | 1:10 PM | Kevin Kuo (RStudio)Unblocking Insurance Analytics R&D with Open Data |
| 1:10 PM | 1:50 PM | Guojun Gan (U of Connecticut)Self-Paced Probabilistic Principal Component Analysis for Data with Outliers |
| 1:50 PM | 2:00 PM | Closing Remarks |