Larry Baeder
Data Scientist
San Francisco, CA, US
Larry Baeder is a data scientist with the Property and Casualty Practice in Milliman's San Francisco office. He joined the firm in 2018.
Experience
Larry's areas of expertise include:
- Developing commercial auto telematics pricing scores using machine learning
- Developing machine learning and data science solutions for rate development, underwriting, territory development, and claims analysis
- Developing traditional predictive models for standard pricing and non-pricing such as underwriting, conversion, and retention
- Developing countrywide flood insurance rating plans
- Developing software for competitive analysis and API
Publications and Presentations
Larry has presented on the applications of big data for insurance, interpretable machine learning techniques, and flood insurance take-up rate modeling. He has published a survey of interpretable machine learning techniques applied to insurance and a study on flood insurance take-up rates.
Education
- MS, Statistics - Texas A&M University
- BS, Computer Science and Communication Arts - University of Wisconsin, Madison
Publications