Junwei Shi

Junwei Shi, Ph.D., serves as a Research Assistant Professor in the Department of Radiation Oncology at the University of Miami, where he leads an independent research program focused on advancing prostate cancer treatment through nanotechnology. His work integrates molecular imaging with radiotherapy to develop precision oncology solutions.

Education:

• Ph.D. in Biomedical Engineering, Tsinghua University, Beijing (2015)
• Post-Doctoral Fellowship in Radiation Oncology, University of Miami (2020)

Research Focus: Dr. Shi's laboratory pioneers three interconnected research thrusts: (1) Engineering metal nanoparticles (gold/gadolinium) to amplify tumor radiation dose while protecting healthy tissue; (2) Developing novel X-ray fluorescence molecular imaging techniques for real-time nanoparticle tracking and treatment response assessment; (3) Creating tumor-targeted drug delivery systems leveraging nanoparticle synergies. His work bridges nanomedicine, radiation physics, and molecular oncology through rigorous computational modeling and in vivo validation.

Publication Trends: Analysis of his 15 most recent publications (2022-2025) reveals a dominant focus on X-ray fluorescence imaging of PSMA-targeted gold nanoparticles, Monte Carlo simulations of radiation dose enhancement, and multi-modality imaging platform development. His research consistently targets prostate cancer theranostics with increasing technical sophistication in image reconstruction algorithms and nanoparticle engineering.

Scientific Recognition:

• American Cancer Society IRG Pilot Award for PSMA-targeted nanoparticle imaging
• Best Paper Award, North American Chinese Medical Physicist Association
• Excellent Doctoral Dissertation, Tsinghua University
• Outstanding Graduate honors and dual National Scholarships at Tsinghua

Research Infrastructure: As an independent PI at Sylvester Comprehensive Cancer Center, Dr. Shi directs a multi-modality imaging platform integrating X-ray, bioluminescence, and fluorescence tomography with precision radiotherapy systems. His lab develops 3D-printed collimators and machine learning algorithms to advance nanoparticle-based cancer theranostics while securing competitive funding for translational research.