Jing Wang

Jing Wang is a Professor in the Department of Radiation Oncology at University of Texas Southwestern Medical Center (UTSW), working within the Division of Medical Physics and Engineering. His research focuses on medical image processing, image reconstruction, treatment outcome prediction, image-guided radiation therapy (IGRT), and adaptive radiation therapy (ART).

• B.S. in Materials Physics, University of Science and Technology of China
• M.A. and Ph.D. in Physics, Stony Brook University
• Postdoctoral training in Radiology (Stony Brook) and Radiation Physics (Stanford)

Dr. Wang's laboratory develops advanced machine learning algorithms for:

• Medical image reconstruction (CT/CBCT/PET/MRI)
• Quantitative imaging applications
• Real-time tumor localization
• Radiomics biomarker development
• Multi-objective treatment optimization
• Deep learning for adaptive therapy

Recent publications demonstrate strong focus on transformer-based models and real-time imaging solutions across various cancers including:

• Head and neck cancer (anatomy change prediction)
• Lung cancer (adaptive therapy strategies)
• Prostate cancer (tumor localization)
• Pancreatic cancer (surgical outcome prediction)
• Breast cancer (response assessment)

Professional recognitions include:

• American Board of Radiology certification in Therapeutic Medical Physics
• Texas State Medical Physics License

Dr. Wang leads the AIRT Lab, which focuses on improving radiation therapy efficacy through integrated software/hardware innovations in imaging and machine learning-based outcome prediction.