Iris Griffith is a Software Engineer specializing in Machine Learning Research at Tokyo Electron since 2025, with prior experience as a Machine Learning Engineer at PerformanceStar LLC, where valuable work focused on explainable AI and fault detection. Previous roles include Data Scientist at OmniScience, where Iris developed an edge Machine Learning model for breast cancer prediction achieving significant accuracy and sensitivity, and Software Developer at MachineServant, contributing to high-performance microservices. As a Research Assistant at Reed College, Iris led various projects, including the development of an R package for model-assisted survey estimation and interdisciplinary research in Cryptography. Academic credentials include a Bachelor of Arts in Mathematics and Statistics from Reed College.
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