cv

MRI Clinical Scientist

Philips Healthcare

Supporting clinical research and product development in cardiac and interventional MRI in collaboration with Mayo Clinic.

• Develop advanced algorithms for MRI reconstruction and post-processing
• Collaborate with Mayo Clinic and Philips R&D teams
• Optimize MRI workflows and imaging sequences
• Translate research algorithms into clinical deployment

Postdoctoral Research Fellow

Beth Israel Deaconess Medical Center, Harvard Medical School

Cardiovascular Magnetic Resonance Imaging

• Developed deep learning algorithms for accelerated cine and 3D LGE MRI
• Deployed inline reconstruction methods in clinical workflows

Research Assistant

University of Minnesota

Center for Magnetic Resonance Research

• Designed self-supervised deep learning methods for cardiac MRI and fMRI
• Contributed to Human Connectome Project reconstruction pipelines

PhD

University of Minnesota

Electrical and Computer Engineering

MSc

Bilkent University

Electrical and Electronics Engineering

BSc

Bilkent University

Electrical and Electronics Engineering

Gerald M. Pohost Award

Journal of Cardiovascular Magnetic Resonance

Awarded for most impactful paper: 'Late gadolinium enhancement cardiovascular magnetic resonance with generative artificial intelligence.'

Best Poster Award

IACSM Philips Conference

For PRIME framework enabling deployment of custom MRI reconstruction algorithms on scanner.

American Heart Association Predoctoral Fellowship

American Heart Association

Top-ranked fellowship (0.12%) for work on high-resolution cardiac perfusion MRI.