Dr. Xin Tie is a Therapeutic Medical Physics Resident at the University of Pennsylvania with a interdisciplinary background at the intersection of medical physics and artificial intelligence. He earned his Ph.D. in Medical Physics with a minor in Computer Science from the University of Wisconsin-Madison, where his research focused on developing advanced AI methodologies for medical imaging, particularly in lymphoma and longitudinal imaging analysis. His work spans a broad range of innovations, including deep learning-based reconstruction, segmentation, vision-language modeling, large language model applications, and prognostic modeling using multimodal imaging data. Dr. Tie has contributed to the field with multiple first-author publications in leading journals such as Radiology: Artificial Intelligence, International Journal of Radiation Oncology, Biology, Physics, and Journal of Nuclear Medicine, alongside presentations at major national conferences including AAPM, ASTRO, RSNA, and SNMMI. In addition to his research achievements, he brings robust clinical experience in radiation therapy planning, quality assurance, and advanced treatment techniques, including IMRT, VMAT, and proton therapy. Dr. Tie is also an active contributor to the scientific community, serving as an associate editor for Medical Physics.
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