We are based in the Johns Hopkins Dept. of Radiation Oncology and Molecular Radiation Sciences, Division of Medical Physics.
Research Themes
AI-Driven Radiotherapy Planning
Applying deep reinforcement learning and large language models for advanced, intelligent auto-planning.
Fast Radiation Dose Calculation
Applying accelerated computing to photon and proton dose calculation. See our open-source project DoseCUDA.
Adaptive Proton Therapy
Combining automation and accelerated computing with advanced image-guidance for fast adaptive IMPT.
Recent Publications from PubMed
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Current and Past Funding
Johns Hopkins Pediatric Radiation Oncology Research Center
Co-I, "Technological Advancements in Proton Therapy", 2025-2030
Varian Medical Systems, Inc.
PI, "Characterizing the impact of increased CBCT scan speed and detector panel size on image-guided adaptive radiotherapy for mobile targets", 2023-2025
Commonwealth Fund
PI, "Improving the Reproducibility of Biological Dose Delivered by Proton Radiotherapy using Artificial Intelligence and Longitudinal Plan Quality Assessment", 2022-2025
AAPM Seed Grant
PI, "Artificial intelligence-based decision support to improve the reproducibility of metastasis-directed therapy for oligometastatic prostate cancer", 2020-2022