Summary
Christine Chung is a Senior Data Scientist with 11 years of experience applying code and data to real-world problems at the intersection of policy, technology, and social justice. Based in Greater Boston, she has advanced from machine learning engineering to senior roles at DrivenData after data science positions at Meetup and civic-focused organizations, bringing strong production engineering skills across Python, PostgreSQL, AWS, and full-stack web tooling. Her background includes policy-facing work for the City of Chicago and climate data platforms, enabling her to translate technical analyses into actionable recommendations for non-technical stakeholders. Comfortable leading end-to-end pipelines and building user-facing analytics portals, she pairs rigorous computational training from the Harris School of Public Policy with hands-on product delivery. A Fulbright-Hays alumna with early international and advocacy experience, she often blends domain research, GIS, and scalable engineering to maximize social impact.
11 years of coding experience
5 years of employment as a software developer
Master of Science (M.Sc.), Computational Analysis and Public Policy, Master of Science (M.Sc.), Computational Analysis and Public Policy at Harris School of Public Policy at the University of Chicago
A.A., Renewable Energy/Energy Efficiency, A.A., Renewable Energy/Energy Efficiency at Greenfield Community College
University of Massachusetts Amherst
Brandeis University
English, Chinese