Tazbia Fatima is a Computational Journalist and Software Engineer working at the intersection of Journalism, Data and Artificial Intelligence. Currently she is a Newsroom AI and Automation Engineer at Hearst Newspapers, after nearly a year as an AI and data fellow at The City, a nonprofit local newsroom serving New York readers, where she experimented with generative AI to map the publication’s coverage, prototyped audience engagement tools, and used AI for editorial data analysis through fact-checked pipelines.
Fatima graduated with a dual master’s degree in journalism and computer science from Columbia University, where she was a research assistant at the Tow Center. She won the Brown/Tow award for excellence in computational journalism for her building of classification pipelines to track immigration from India.
Before attending graduate school, Fatima was a software engineer at NCR Corp. in Hyderabad, India, where she worked on cloud migration and infrastructure scaling during on-demand events like the Super Bowl. She was also a software engineering intern at Apple.
Aside from work, Fatima loves to read, run and browse through thrift stores.