• IBM

Matthew Deady

FDA BEST Innovative Methods Computable Phenotyping & AI Algorithm Lead Developer

Matthew Deady is a Data Scientist and Senior Managing Consultant at IBM, focusing on Data & Technology Transformation in Federal Healthcare. They possess expertise in Machine Learning, Natural Language Processing, and software development with PL/pgSQL and Python. Previously, Deady led various projects, including the development of AI algorithms for the FDA and predictive modeling to enhance tax fraud detection for the IRS. Holding a Bachelor of Arts in Economics and Psychology from Williams College, they are dedicated to leveraging their technical skills to benefit public sector clients through AI advancements.

Location

Washington, United States

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