Philosophy of Care

For more than a decade, I have been drawn to research that brings together diverse scientific disciplines to address challenging questions in human health. My expertise spans multimodal imaging approaches, including MRI, MEG, ultrasound, and MR spectroscopic imaging, with a particular interest in developing innovative end-to-end methods for image acquisition, signal processing, and quantitative analysis. By integrating these technologies, I seek to improve our understanding of cancer and neuropsychiatric disorders and contribute to more precise, patient-centered approaches for diagnosis, treatment management, and monitoring.

Training and mentoring are among the most rewarding aspects of my academic career. I am passionate about creating supportive learning environments that encourage curiosity, critical thinking, and scientific rigor. Through graduate-level instruction in medical imaging physics and deep learning, as well as mentorship of students and trainees at various stages of their careers, I aim to help emerging researchers build the confidence and skills needed to make meaningful contributions to biomedical science.

Clinical Interests

Dr. Iİpek Özdemir is a scientist whose research focuses on the development and translation of advanced magnetic resonance imaging (MRI) and magnetic resonance spectroscopic imaging (MRSI) methods for studying brain metabolism in health and disease.

Her work spans the full spectrum from methodological innovation to clinical application, with a particular emphasis on improving the characterization and monitoring of brain tumors. Dr. Özdemir has developed novel imaging technologies and successfully translated them into patient studies, advancing the use of metabolic imaging biomarkers in neuro-oncology.

In addition to her research activities, she serves as Director of Machine Learning in the Department of Radiology, where she promotes the integration of artificial intelligence and advanced data analytics into medical imaging research and clinical practice.

 

Research/Academic Interests

Dr. Özdemir's research lies at the intersection of advanced neuroimaging, physics, and artificial intelligence. Her primary focus is the development, optimization, and clinical application of multimodal imaging techniques. Her current work is dedicated to exploring the downfield resonances of proton spectrum in human brain which is an under-discovered region that provides vital, complementary metabolic data in addition to traditional imaging.

Dr. Özdemir is leading efforts to combine multimodal medical imaging and machine learning to develop transformative technologies for neuroscience and clinical cancer research.

Division

Medical Physics