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Charlotte, NC, United States
Kay is a data scientist in Artificial Intelligence and Data practice at Ernst & Young LLP.
Her previous work in multiple wet labs, bioethics working groups, global health nonprofits, pharmaceutical manufacturing and pharmacoinformatics research enables her to create innovative solutions across the life sciences and healthcare ecosystems. Kay generates opportunities by leveraging advanced analytics and AI to drive informed decisions.
Kay was a Chancellor’s Science Scholar at The University of North Carolina at Chapel Hill, where she earned her BS in Statistics & Analytics with a second major in Chemistry and a minor in Neuroscience.
How Kay is shaping the future with confidence
Kay’s deep technical knowledge and diverse experiences allow her to design innovative solutions to the problems of tomorrow. She has taken her love of data and her understanding of the pharmaceutical and health systems to improve patient care. Kay volunteers as a community STEM educator, helping to create an inclusive and inquisitive next generation of scientists.