Summary
Jonathan Stray is a Senior Scientist at UC Berkeley’s Center for Human-Compatible AI with two decades of cross-disciplinary experience spanning responsible AI research, investigative data journalism, and teaching. He specializes in recommender systems, misinformation, and the social effects of AI, combining deep technical skills in NLP, deep learning, image processing, and visualization with a journalist’s instincts for narrative and evidence. His work has produced open-source tools for large-document analysis (Overview) and newsroom data workflows, and he has led research on well-being metrics for recommender systems and deepfake detection. A former investigative reporter for ProPublica and the Associated Press and a longtime instructor in computational journalism at Columbia, he brings rare domain expertise at the intersection of public discourse and algorithmic design.
15 years of coding experience
9 years of employment as a software developer
MSc, Computer Science, MSc, Computer Science at University of Toronto
The University of Hong Kong (HKU)