Additional Information

Sophia Ty joined the Molecular Imaging Branch as an NIH UGSP postbaccalaureate fellow after obtaining dual degrees in biomedical engineering (BS) and biochemistry (BS) at the University of Texas at Austin. Her research interests lie in two broad domains: 1) the development of tools and paradigms for cancer diagnostics, and 2) applications of computational frameworks in cancer imaging and oncology. Currently, her research aims to characterize metastatic lesions in the liver by integrating computed tomography images and omics data. She is also involved in our team’s digital pathology project investigating high-risk patterns in prostate cancer using AI. Outside of research, she is passionate about STEM education, biotech innovation, and community engagement. In her free time, she enjoys architecture, photography, culinary/tasting adventures, and outdoor activities