Nathan Park

Research Interests: AI/ML model validation, clinical decision support, precision medicine, health equity

Nathan Park received his B.S. in Cognitive Science with a focus on computation from the University of Michigan. His undergraduate research focused on multimodal models for preterm birth prediction, exploring how cervical ultrasound imaging and physiological signals can improve pregnancy risk assessment. He is interested in building reliable predictive models that support clinical decision-making, particularly for underserved populations.

Previous Education: 

BS, Cognitive Science - University of Michigan