Emma Mayes is an experienced Integration Engineer at Epic, specializing in Electronic Data Interchange (EDI) within Data Aggregation since July 2022. Prior to this role, Emma served as a Graduate Teaching Assistant at the University of Illinois Urbana-Champaign, leading laboratory sections for undergraduate students, and gained valuable experience as a research assistant in various settings, including the Human Factors in Sociotechnical Systems Lab. Emma participated in the competitive Data Science 4 All/Women Fellowship Summit, where modeling and predicting K-12 student engagement were key projects. A background in optimizing software and supply chains is evident from internships at Textron Specialized Vehicles and various research projects at Clemson University, including leading a team on machine learning applications. Emma holds a Master of Science in Industrial Engineering from the University of Illinois Urbana-Champaign and a Bachelor’s degree in Industrial Engineering with a Computer Science emphasis from Clemson University.
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