Dr. Dillon Pruett is an Assistant Professor in the School of Communication Science and Disorders whose research bridges clinical informatics, statistical genomics, and artificial intelligence in the study of the neurobiological underpinnings of stuttering and related conditions. He leverages machine learning and natural language processing approaches to mine electronic health records (EHRs) and utilizes biobank datasets to map the genetic risk architecture of stuttering. Expanding on these computational frameworks, Dr.

Dr. Chen is an assistant professor in the College of Nursing who integrates artificial intelligence with domain expertise to build trustworthy, explainable health‑care applications. His research uses LLMs and VLMs to analyze clinical narratives and medical images, advancing diagnosis, risk assessment, and decision‑making for geriatric diseases and cancers.