معرفی
Sarah E. Gerard is an Assistant Professor in the Roy J. Carver Department of Biomedical Engineering at the University of Iowa, College of Engineering. Her research integrates advanced computational methods with biomedical imaging to study lung physiology and disease.
Research Interests: Dr. Gerard specializes in medical image analysis, computer vision, and artificial intelligence, with a focus on multimodal pulmonary imaging. Her work investigates the structural and functional relationships in the lungs to predict chronic obstructive pulmonary disease (COPD) susceptibility and progression. She applies deep learning and image processing techniques to extract clinically relevant insights from complex imaging data.
Her research is conducted through the Pulmonary Imaging and Computer Vision Lab, where she leads projects at the intersection of engineering and respiratory medicine. Dr. Gerard is an active member of the Women in MICCAI community, contributing to diversity and inclusion in medical image computing.
Dr. Gerard received her education entirely at the University of Iowa:
- PhD in Biomedical Engineering (2018)
- BS in Biomedical Engineering (2012)
She maintains an active publication record, accessible via her Google Scholar profile, with research trends centered on AI-driven image analysis for pulmonary health assessment.
Professional Affiliations:
- Women in MICCAI
Advising and Research Leadership: As principal investigator of the Pulmonary Imaging and Computer Vision Lab, Dr. Gerard mentors students and researchers in computational biomedical imaging. While specific advisees are not listed, her lab environment supports graduate training and collaborative research. No grants are explicitly mentioned, but her research program suggests active pursuit of external funding in imaging and respiratory health.
