Supporting the scale of Public Sector data and the need to protect sensitive information is essential to public sector organizations.
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As a Delivery Solutions Architect, Rebecca helps healthcare organizations leverage Databricks to drive meaningful impact across clinical and operational workflows. She advises customers on best practices for data ingestion, ETL, AI/ML, and business intelligence, with a particular focus on applied machine learning in healthcare settings. Rebecca’s background lies at the intersection of AI/ML, healthcare, and human-centered design; prior to Databricks, she worked as a Behavioral Scientist at ideas42 and a Responsible AI Data Scientist at the Chicago Booth Center for Applied AI. She holds a Master’s in Data Science from UC Berkeley.
Bio from: Data + AI Summit 2025
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Supporting the scale of Public Sector data and the need to protect sensitive information is essential to public sector organizations.