Peyman

My research journey has been dedicated to cancer biology and the development of imaging algorithms to extract quantifiable biomarkers. From exploring lung cancer metabolism during my time in USYD Pathology to pursuing a Ph.D. at UNSW, where I focused on creating an Imaging Platform for cancer study. Researching into the development of Imaging algorithms for T cell anti-cancer cytotoxicity at Centenary Cancer Institute and a postdoctoral position at Harvard Medical School, I have consistently pursued cutting-edge research.

Since 2021, I have been channeling my knowledge of image processing into the realm of Clinical Imaging and Digital health product development. Currently my focus is on developing AI-based applications for clinical imaging to enhance early detection of inflammatory conditions like lung cancer. My role stems from the success of the externally funded REDI Fellowship (A$163,659, July 2022-2023).