Theresa is a data scientist specializing in natural language processing (NLP) and machine learning (ML) for healthcare data. With a background in mathematics (B.S.) and data science (M.S.), she brings deep technical expertise in Python and SQL to the development of scalable, production-ready models. She currently leads a team of data scientists focused on building NLP and ML solutions that extract clinical insights from unstructured and semi-structured text within the Veradigm Network EHR (VNEHR). Her work supports Real World Evidence studies and client-facing analytics by transforming complex clinical narratives into structured, actionable data.
