Serdar Tumgoren teaches data journalism in the Stanford Graduate Journalism Program and is an associate director for Big Local News, a project at Stanford that fosters collaborative data journalism and provides tools and platforms to help local newsrooms extend their reach.

Prior to joining Stanford in 2018, Serdar worked at The Associated Press, The Washington Post and Congressional Quarterly, with a focus on political and election-related data and Web applications.

A graduate of Georgetown University, Serdar began his career as a local government reporter in California, Connecticut, and New Jersey.

He is passionate about open source tools and platforms that help journalists uncover data-driven stories. He co-founded the OpenElections project, a volunteer effort to gather and standardize U.S. election data, and created datakit, a customizable tool to help journalists simplify and standardize their data analysis workflows.

Academic Appointments

  • Lecturer, Communication

2023-24 Courses

Stanford Advisees

  • Master's Program Advisor
    Kaylee Kang, Eve Lu, Hannah Poukish