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My research area of interest is in the R&D as well as clinical implementation of imaging-driven procedures and medical devices for highly personalized radiation cancer treatments. Over the past ten years, my research has developed adaptive radiotherapy procedures for treating conventional and MRI-guided upper gastrointestinal sites. In collaboration with industry partners and external academic sites, I have developed medical devices for enhancing imaging quality and designed a fully integrated therapy system consisting of an MRI scanner and a linear accelerator. More recently, my research has applied deep learning methodology for image synthesis to support and further develop reinforced radiotherapy adaptive methodologies. I also led the development of QuantMR, a cloud-based imaging pipeline for automated analysis and AI model deployment meant to augment the radiotherapy clinical decision process.