Tyler Simko is a PhD Candidate in Government at Harvard University, where he is affiliated with the Center for American Political Studies, the Algorithm-Assisted Redistricting Methodology (ALARM) Project, and the Program on Education Policy and Governance at the Harvard Kennedy School. His research is focused on how public policy can be designed to reduce inequality, and methodologically focuses on tools for geographic analyses and causal inference. He is particularly passionate about teaching, and regularly offers courses in data science, public policy, and American Politics. Before starting his PhD, Tyler served two elected terms on his local school board. Tyler studied Politics / Statistics & Machine Learning at Princeton.