Assistant Professor at Northwestern University Medill School
Chicago, Illinois, United States
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Summary
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Matt Kiefer is an assistant professor and data journalist with 12 years of experience building tools and systems that acquire, process, and analyze complex public records to support investigative reporting and academic research. He has led and launched data journalism teams and projects at major newsrooms—including WBEZ, The Washington Post, and the Chicago Reporter—designing FOIA automation, newsroom databases, and interactive reporting tools that have supported award-winning investigations. Comfortable across Python, databases, and newsroom R&D, he has a track record of turning messy government data into reproducible workflows and newsworthy stories, from tracking court filings after Jan. 6 to exposing racial disparities in COVID-19 mortality. He complements newsroom leadership with hands-on prototyping—authoring open-source FOIAmail and building production scraping systems for election results—bridging journalism, software and pedagogy. Based in Chicago, he combines academic rigor with practical product instincts, training journalists to adopt data-driven methods while shipping robust tools used in real investigations.
13 years of coding experience
9 years of employment as a software developer
Associate of Arts, Associate of Arts at Oakton College
Bachelor of Arts, English, Bachelor of Arts, English at Northeastern Illinois University
Contributions:74 commits, 2 PRs, 71 pushes in 4 years
automation
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