Naomi Lynch is a Master’s student at the University of Pennsylvania pursuing an MSE in Data Science. She holds a B.A. in Psychology with a certificate in Data Fluency from Brown University. Her research focuses on natural language processing and multimodal behavioral analysis, with a specific interest in leveraging AI to quantify and enhance the human elements of healthcare. Previously, she served as a Clinical Research Coordinator at UCSF’s Eating Disorders Program, where she managed large-scale behavioral databases and co-authored several publications on eating disorder treatment outcomes.

Naomi is currently working with Drs. Sharath Chandra Guntuku and Vivienne Chi on a project to quantify and measure the “therapeutic alliance.” By applying natural language processing and statistical modeling to multimodal data, she is helping develop frameworks that extract non-verbal and linguistic cues to predict patient trust in real-world clinical encounters — with the goal of building AI-driven tools that foster more empathetic and effective medical communication.