My lifelong goal is to continue the path of elevated level of research in the field of radiation therapy. Millions of patients around the world are diagnosed with cancer every year. More than 50 percent of them require radiation therapy to manage their disease. During the last five decades, radiation therapy has advanced with modern technology to focus radiation to target tumors with more accuracy than ever before. This has enabled us to further increase dose (dose escalation), which can potentially reduce relapse/increase survival for radiosensitive tumors. Relapse is still a widespread problem in treatments due to our inability to precisely delineate the location and extent of tumors. Moreover, it is unknown how quickly and differently tumors respond to radiation insult. Cellular characteristics and dynamic processes for tumor progression and response to fractionated or single fraction is neither well defined nor well studied. I have a unique knowledge base and opportunity to exploit a newly developed MRI-guided conformal radiation technology to a lesser-known area of research: dynamics of tumor response to radiation. My aim is to apply my skills and research tools to exploit, assess and further develop this novel technology to initiate temporal change of the tumor characteristics (cellular), volume, and local environment (vascular).

Developing breathing teacher based on nonlinear dynamics theory so lung cancer patients’ breath easily more reproducibly to mitigate tumor motion so we can escalate dose for better tumor control

Developing breathing synchronized delivery techniques for moving tumors to reduce the dose to critical organs and maximizing the dose to tumor

Radiomics based assessment of radiation induced lung injury in lung cancer patients

Radiomics and AI based study to predict recurrence pattern in lung cancer patients