Research Interests
Medical Imaging, Biomarkers, and Artificial Intelligence
Description
Sue Hu is a Biomedical Engineering PhD candidate at Columbia University co-mentored by Dr. Andrew Laine and Dr. Martin Prince. Trained as a physicist, she is currently working on using medical imaging and machine learning to understand and predict disease progression.
Education
PhD in Biomedical Engineering, Columbia University (2026-)
M.Sc in Medical Physics/Applied Physics and Mathathematics, Columbia University (2022-2024)
B.Sc in Physics and Chemistry with a Minor in Biology, University of North Carolina at Chapel Hill (2018-2022)
Honors & Recognition
Thomas A. Sos Tank Innovation Award, Weill Cornell Medicine (2024)
ISMRM Trainee Award (2024)
Summer@SEAS Fellow, Columbia University (2023)
David L. Stern Scholar Award, UNC Chapel Hill (May 2022)
Phi Beta Kappa (Inducted October 2020)
Gold Medal, International Genetically Engineered Machine Competition (2017)
Bronze Medal, International Genetically Engineered Machine Competition (2016)
Select Publications
1. Hu, Z., Sharbatdaran, A., He, X. et al. Improved predictions of total kidney volume growth rate in ADPKD using two-parameter least squares fitting. Sci Rep 14, 13794 (2024). https://doi.org/10.1038/s41598-024-62776-8
2. Hu, Z., Lane, E. G., Lo, G. C., Blumenfeld, J. D., Shimonov, D., Chevalier, J. M., Schonfeld, E. A., Brandman, D., & Prince, M. R. (2025). Reporting ADPK Disease Phenotypes on Abdominal Scans. Kidney international reports, 10(9), 2967–2976. https://doi.org/10.1016/j.ekir.2025.06.046