Generate a tailored SOP for Dr. Serdar Tumgoren. Improve your application with a focused, well-structured draft.
Serdar Tumgoren teaches data journalism in the Stanford Graduate Journalism Program and serves as the associate director of the Big Local News project. This initiative promotes collaborative data journalism while equipping local newsrooms with necessary tools and platforms to extend their reach. Prior to joining Stanford in 2018, Serdar worked at renowned news organizations such as the Associated Press and the Washington Post, focusing on political and election-related data and web applications. A graduate of Georgetown University, he began his career as a local government reporter across California, Connecticut, and New Jersey. He is passionate about utilizing open source tools to help journalists uncover engaging, data-driven stories. Additionally, he co-founded the OpenElections project, a volunteer-driven effort aimed at compiling and standardizing U.S. election data, and created the datakit, a customizable tool designed to assist journalists in simplifying and standardizing their data analysis workflows.
The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.