Research – My research focused on the development and evaluation of deep learning and image analysis techniques for the detection, classification, and segmentation of kidney and prostate cancer applications.
Research Interests – I am interested in developing deep learning-based methods for real-time image-guided therapy, multi-modality image fusion, and abnormality detection in medical images.
Background – I received my master's and Ph.D. in Electrical and Computer Engineering both from Carleton University in 2016 and 2020, where my Ph.D. work has been awarded the university medal for outstanding graduate work at the doctoral level. I then joined the Johns Hopkins University as a postdoctoral scholar where I worked with colleagues in the Department of Radiation Oncology to design and implement AI-based methods for real-time MR-guided gynecologic cancer radiation therapy. I joined UCLA in September 2021.