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
November 1, 2024 - October 31, 2025 - Integrating Multi-Modal Data to Enhance Glioblastoma Progression Prediction , . Sponsor: UCSF Brain Tumor SPORE, Sponsor Award ID:
September 1, 2022 - August 31, 2025 - Integrating Metabolic and Physiologic MRI for Personalized Glioblastoma Radiotherapy Planning , Co-Investigator . Sponsor: Department of Defense, Sponsor Award ID: W81XWH-22-1-0695
May 1, 2024 - April 30, 2025 - Building a Multimodal Vision-Language Model for Precise Spatial-Temporal Prediction of Glioblastoma , . Sponsor: HDFCCC Computational Cancer Research, Sponsor Award ID:
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:
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)