Daniel Glab
About Daniel Glab
Daniel Glab is a Predictive Modeler at Milliman in Seattle, Washington, where he has worked since 2017. He holds a Doctorate in Philosophy and a Master's in Statistics from Texas A&M University, along with a Bachelor's in Mathematics from the University of Wisconsin-Madison.
Work at Milliman
Daniel Glab has been employed at Milliman as a Predictive Modeler since 2017. He operates from the Seattle, Washington office, where he focuses on developing predictive models that assist in decision-making processes within the insurance sector. His role involves analyzing data to identify trends and patterns that can inform business strategies.
Previous Experience in Insurance Analytics
Prior to his current position, Daniel Glab worked at Farmers Insurance as a Commercial Product Analyst Senior from 2013 to 2014. He then served as a Senior Analyst in Insurance Analytics at TransUnion from 2015 to 2017. In these roles, he contributed to the development and analysis of insurance products and analytics, enhancing the understanding of market dynamics.
Education and Expertise
Daniel Glab holds a Doctor of Philosophy in Statistics and Philosophy from Texas A&M University. He also earned a Master of Science in Statistics from the same institution. Additionally, he completed a Bachelor of Science in Mathematics at the University of Wisconsin - Madison. His educational background provides a strong foundation in quantitative analysis and statistical methodologies.
Academic Background
Daniel Glab's academic journey includes extensive studies in statistics and mathematics. He achieved his Bachelor of Science degree at the University of Wisconsin - Madison, followed by a Master of Science and a Doctorate at Texas A&M University. This educational path has equipped him with the analytical skills necessary for his roles in predictive modeling and insurance analytics.