Overview
My research interests include intensity-modulated radiation therapy (IMRT), volumetric-modulated arc therapy (VMAT), Dynamic Electron Arc Radiotherapy (DEAR), and image-guided radiation therapy (IGRT). For IMRT, my work includes the development of the research platform, fast and accurate dose calculations, optimization based on physical and biological objectives such as generalized equivalent uniform dose (gEUD), and delivery with a dynamic multi-leaf collimator (DMLC). For VMAT, I am interested in optimization, quality assurance, and novel applications. For DEAR, I'm interested in the treatment planning and delivery verifications. For IGRT, my work includes the development of the infrastructure of the online and offline image guidance, characterization of patient anatomic changes and treatment uncertainties, margin calculations, and adaptive treatment planning. My recent research interests also include the use of AI in treatment planning, Brachytherapy dose calculation and plan optimization.
My clinical interests include prostate cancer, head and neck cancer, total body irradiation (TBI), and total skin irradiation (TSI)
My clinical interests include prostate cancer, head and neck cancer, total body irradiation (TBI), and total skin irradiation (TSI)
Current Appointments & Affiliations
Professor of Radiation Oncology
·
2021 - Present
Radiation Oncology,
Clinical Science Departments
Recent Publications
A technique for achieving arbitrary machine dose rates via MLC leaf motion modulation using fixed-gantry IMRT delivery mode.
Journal Article Med Phys · June 2025 BACKGROUND: The medical linear accelerator (Linac) typically operates at a constant but discrete dose rate for both 3D conformal fields and intensity modulation radiotherapy (IMRT) fields. However, in certain clinical and radiobiological scenarios, such as ... Full text Link to item CiteA machine learning toolkit assisted approach for IMRT fluence map optimization: feasibility and advantages.
Journal Article Biomed Phys Eng Express · April 22, 2025 Purpose. Traditional machine learning (ML) and deep learning (DL) applications in treatment planning rely on complex model architectures and large, high-quality training datasets. However, they cannot fully replace the conventional optimization process. Th ... Full text Link to item CiteReinforcement learning-driven automated head and neck simultaneous integrated boost (SIB) radiation therapy: flexible treatment planning aligned with clinical preferences.
Journal Article Phys Med Biol · April 22, 2025 Objective.Head-and-neck simultaneous integrated boost (SIB) treatment planning using intensity modulated radiation therapy is particularly challenging due to the proximity to organs-at-risk. Depending on the specific clinical conditions, different parotid- ... Full text Link to item CiteRecent Grants
Knowledge-based Tutoring for Knowledge-based Radiation Therapy
ResearchCo Investigator · Awarded by Varian Medical Systems, Inc. · 2020 - 2022Cross-disciplinary Training in Medical Physics
Inst. Training Prgm or CMEMentor · Awarded by National Institutes of Health · 2007 - 2013Image-Guide Radiation Therapy of Prostate Cancer
ResearchPrincipal Investigator · Awarded by National Institutes of Health · 2006 - 2011View All Grants
Education, Training & Certifications
Columbia University ·
1994
Ph.D.