Joe Long is an assistant actuary and data scientist with the Minneapolis office of Milliman. He joined the firm in 2013. Mr. Long specializes in the application of data science and machine learning within the actuarial setting. In addition to his consulting work for insurers and other risk-taking entities, this work includes assisting health, life, and long-term care actuaries developing products and tools that utilize predictive modeling.
Mr. Long has assisted in developing models for predicting relative healthcare costs included in the Milliman Advanced Risk Adjusters™ (MARA™) and Milliman IntelliScript® software products. He is also a key team member pioneering Milliman's internal research that applies predictive analytics to long-term care industry experience to develop first principle assumptions and claim cost guidelines. Email Mr. Long at [email protected].
