Zhengguo Tan

Hi, thanks for visiting! 🤝

I’m a research faculty in the Michigan Institute for Imaging Technology and Translation (MIITT), Department of Radiology, University of Michigan (UMICH) in Ann Arbor, USA.

Before joining MIITT, I was a postdoctoral scientist supervised by Prof. Dr. Florian Knoll at the Friedrich-Alexander University of Erlangen-Nuremberg (FAU). I enjoyed the time with Prof. Knoll building efficient deep learning reconstruction methods for magnetic resonance imaging (MRI). Meanwhile, I was a lecturer on the core master study module “Computational Imaging Project”, mentoring about 8 master students per semester. Prior to Erlangen, I was a postdoctoral project leader sponsored by the German Research Foundation (DFG) at the University Medical Center Goettingen (UMG) and adjunct at Max Planck Institute for Multidisciplinary Sciences (MPINAT). I worked with Prof. Dr. Martin Uecker and Prof. Dr. Jens Frahm developing advanced pulse sequences and iterative reconstruction methods for fast MRI. I earned my PhD degree from MPINAT with summa cum laude, under the guidance of Prof. Frahm, focusing on the development of asymmetric-echo radial and multi-echo radial sampling sequences, and model-based reconstructions for real-time phase-contrast flow MRI and dynamic multi-echo MRI.

I’m interested in MRI physics and numerical optimization methods. I’ve acquired vast hands-on experience in developing efficient data sampling schemes for MRI, exploring advanced deep neural networks for data-driven image reconstructions, and publishing research outcomes in medical imaging journals.