Michael Tiede is a dedicated Data Scientist with a focus on computational social science, currently working at United Healthcare where they study social barriers to healthcare access. They build AI/ML models, conduct A/B testing, and design data visualizations to enhance program effectiveness and reduce inequities in care. Additionally, Michael serves as the Head Data Scientist at American Inequality, leading predictive modeling and research efforts to address gaps in opportunity across sectors such as education and health. They are also the author of the Substack series "American Inequality: The Dividing Line." Michael is pursuing a Bachelor of Arts at St. Olaf College and a Master of Science in Data Science at the University of St. Thomas.
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