How GSA is Helping Agencies Tackle AI’s Data Challenges

Isabel “Izzy” Metzger is the Lead Artificial Intelligence Scientist within the General Services Administration’s Office of the Chief Information Officer. She applies statistical analysis, machine learning, and natural language processing to support data
modernization, strengthen data culture, and promote AI adoption across the federal community.

Before joining government, Metzger worked in the biotech and healthcare sectors, where she built and deployed machine
learning systems aligned with U.S. data security standards. She developed the core AI models behind a platform for clinical trial insights and pharmaceutical decision-making that was later acquired by a global pharmaceutical company. As part of her graduate
work, she also deployed a deep learning model across several New York City hospitals to predict patient mortality using clinicians’ admission notes, helping inform care decisions when no prior patient data is available.

Metzger’s interest in public service was shaped during the COVID-19 pandemic while living in New York City, where she saw firsthand the impact of government in crisis response. She joined the federal workforce to apply her technical expertise to public good. She is also an advocate for responsible AI and data-driven innovation, contributing to AI literacy and capacity building across agencies. Metzger was recognized with a Service to the Citizen Award for using innovation and data to improve digital services and break down organizational barriers.

Dominique Shelton is the Data & Analytics Lead for the GSA.