Hyemin Um

Hyemin Um joined the IDiA lab as a graduate research assistant in August 2020. Her research focuses on developing radiomics-based as well as deep learning-based tools for improving diagnosis of confounding lesions and aiding with individualized treatment planning in patients with malignant brain tumors. She is currently researching techniques that leverage both multi-parametric and temporal imaging data to incorporate dynamic information into her machine learning models. Prior to joining the IDiA family at Wisconsin, she was a research assistant in Dr. Harini Veeraraghavan’s lab at Memorial Sloan Kettering Cancer Center, New York. For her master’s thesis, she developed and validated radiomic classifiers for glioblastoma in multi-centric datasets with the use of commonly known image preprocessing techniques. Outside of the lab, Hyemin enjoys drawing and being active through bike riding or yoga.