Summary
Lauren Dyson is a Staff Data Scientist with 13 years of experience applying data science to public policy, civic tech, and healthcare. She holds an MS in Computational Analysis and Public Policy from the University of Chicago and has blended research-grade methods with product-facing work at organizations including Flatiron Health, Civis Analytics, Meetup, and Code for America. Her career spans political R&D, urban policy research, and applied analytics for companies building data-driven products, demonstrating an ability to translate complex models into actionable decisions for stakeholders. At Code for America she helped cities leverage open data for community impact, and more recently she’s brought that civic-minded rigor to health-tech at Flatiron. Known for bridging technical depth and policy context, she often tackles messy real-world datasets and socio-technical challenges that require both statistical craft and pragmatic implementation. Outside of work she maintains a public project portfolio that highlights the intersection of data science and social good.
13 years of coding experience
9 years of employment as a software developer
Master’s Degree, MS in Computational Analysis and Public Policy, Master’s Degree, MS in Computational Analysis and Public Policy at Harris School of Public Policy at the University of Chicago
Bachelor of Arts, Bachelor of Arts at Vassar College