Iris Griffith is a skilled Machine Learning Engineer currently working at PerformanceStar LLC, focusing on explainable AI and machine fault detection while developing an LLM-powered chat application. Previously, Iris served as a Data Scientist at OmniScience, where notable achievements included creating a machine learning model for breast cancer prediction with high accuracy and sensitivity. Iris has also worked as a Software Developer at MachineServant, developing microservices and API endpoints. Educational background includes a Bachelor of Arts in Mathematics and Statistics from Reed College, where Iris contributed to significant research projects, including the development of an R package for model-assisted survey estimation and participation in interdisciplinary studies in cryptography and statistics. Throughout academic experience, Iris demonstrated leadership skills as a House Adviser and provided academic support in various mathematics and statistics courses as a tutor and teaching assistant.