Research Summary
My research focuses on developing advanced computational frameworks that integrate imaging, biological, and clinical data to transform cancer diagnosis, prognosis, and therapeutic decision-making. With a particular emphasis on advancing brain cancer care with Artificial Intelligence, I aim to bridge the gap between cutting-edge technology and clinical practice, driving innovation to improve brain cancer patient outcomes.
Research Funding
January 1, 2023 - December 31, 2023 - Developing Multimodal Deep Learning for Outcome Prediction in Glioblastoma Patients After Radiation Therapy , Principal Invstigator . Sponsor: Uncle Kory Foundation, Sponsor Award ID:
September 1, 2019 - December 31, 2021 - Tumor Motion Prediction and Spatiotemporal Learning for Motion Robustness Forecasting to Improve Motion Management Strategies , Co-Investigator . Sponsor: Varian Artificial Intelligence Research Grant, Sponsor Award ID:
June 5, 2020 - August 31, 2020 - A Novel Deep Learning Model for Automated Segmentation in Head and Neck Radiotherapy , Co-Investigator . Sponsor: Radiation Oncology Chair's Summer Research Grant at the University of Pennsylvania, Sponsor Award ID:
Education
06/2021 - Residency in Therapeutic Medical Physics, University of Pennsylvania
PhD, 08/2018 - Nuclear Science and Engineering, Rensselaer Polytechnic Institute
BS, 07/2013 - Nuclear Engineering, Xi'An Jiaotong University (Special Class for Gifted Young)