Samuel Wales-McGrath is a research assistant in the AI4Path group at The Ohio State University Wexner Medical Center’s Pelotonia Research Center, where he specializes in deep learning, optimizing clinician workflows, and large-scale medical image analysis. His work centers on integrating interpretable large language models through retrieval-augmented generation (RAG) with pathology foundation models for gigapixel whole slide images, enabling risk prediction and AI systems that link tissue morphology with clinical outcomes. He has also conducted NSF-funded research at PredxBio, where he designed machine learning quality control workflows for multiplex immunofluorescence imaging, and translational oncology research at Case Western Reserve University investigating radiosensitizers for pediatric brain cancer. A second-year honors computer science engineering student at Ohio State, Samuel is passionate about building AI systems that integrate clinical and biological data to advance precision medicine and improve patient outcomes.