“Quantitative Medical Image Analysis for a Personalized Optimal Clinical Management of Craniosynostosis”

Background: My career has focused on the development of medical image analysis and artificial intelligence methods to improve the understanding, diagnosis, and treatment of medical conditions. I have a strong technical background in engineering, computer science, multi-modal medical image computing and machine learning. I also have both formaland informal biomedical training, and experience performing engineering research in a clinical environment. Recently, I received a K99/R00 Pathway to Independence Award from the National Institute of Dental and Craniofacial Research, which provides me with support to obtain a tenure-track position and create an independent research lab.

Hosted by the Computational Imaging Lab (CIL) (formerly the Electronic Radiology Lab (ERL)).

For inquiries contact Cathy Gezella.