Sage Bergerson

Sage Andrus Bergerson is a researcher and data analyst with expertise in machine learning and AI policy. She holds an MS in Machine Learning from University College London, where her work focused on speech recognition and natural language processing, and a BS in Neuroscience and Computer Science from New York University, where she was a research fellow with the Machine Learning for Language group. She previously served as a Research Data Analyst at the Brain Resilience Laboratory (Knight Initiative for Brain Resilience) at Stanford, applying deep learning to brain resilience and aging research. Her connection to AI safety and governance includes co-authoring "The Compute Divide in Machine Learning: A Threat to Academic Contribution and Scrutiny?" (arXiv, 2024), a data-driven study examining how the disparity in computational resources between industry and academia threatens independent scrutiny of advanced AI systems, produced in collaboration with Epoch, MIT CSAIL's FutureTech group, and the Centre for the Governance of AI (GovAI). She received a small grant from the AI Risk Mitigation Fund to support this work. Past affiliations include DMM.com Group, the Office of the Director of National Intelligence, Stanford CISAC, and the NYU Center for Data Science.

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