Megan Moore is a Data Analyst at Terner Labs who is passionate about urban policy and loves to code. Prior to joining Terner Labs, she worked as a Data Scientist at the Baltimore City Department of Housing and Community Development, focusing on vacant housing initiatives. Before that, she worked as a software engineer in a range of industries, including at the Institute of Health Metrics and Evaluation supporting global health modeling, and at Futurice in a consulting role.

In her graduate studies she contributed to research at Stanford’s RegLab, where she used computer vision methods to help the Environmental Protection Agency (EPA) detect water pollution, as well as at the Cook County Assessor’s Office, where she worked on land value modeling.

Megan holds an MSc in Computational Analysis and Public Policy from the University of Chicago and a bachelor’s degree in Computer Science from NYU Abu Dhabi.