Graduate Student (Graduated 2022)
Nick received his PhD in Biomedical Engineering in 2022. His thesis work was titled "Application of Parallel Transmission to Ultra-High Field Magnetic Resonance Spectroscopy and Imaging". Nick developed conducted cutting-edge research on UHF MRI, signal processing, and image reconstruction. He published multiple papers in Magnetic Resonance in Medicine, demonstrating novel techniques and approaches for improving ultra-high field MR spectroscopy and imaging, mitigating non-uniformities and signal dropout, and imaging human torso organs at 10.5T. After graduation, Nick joined GE healthcare as a Lead MR pulse sequence application engineer.
