Associate Professor, Department of Radiology
I use analytical and numerical modeling tools to quantify and interpret cellular-level tissue structure and its changes in disease based on various MRI contrasts. Biophysical modeling of diffusion and NMR relaxation makes it possible to become specific to tissue features 100-1000 times below the nominal MRI resolution. Specifically, I focus on MRI measurements of diffusion, transverse relaxation, and perfusion, to quantify cell structure and size, membrane permeability, and accumulated iron, and to identify quantitative disease biomarkers in neurodegenerative diseases, tumors, and myopathies.
PhD from Massachusetts Institute of Technology
Princeton University, Physics
Yale University, Physics
Investigative radiology. 2023 Oct 01; 58(10):720-729
Journal of magnetic resonance. 2023 Aug 01; 353:?-?
Neuroradiology journal. 2023 May 22; 19714009231177396
Journal of magnetic resonance. 2023 May 12; 353:107476
Magnetic resonance in medicine. 2023 Apr; 89(4):1441-1455
Neuroimage. 2022 May 08; 119290
Neuroimage. 2022 May 03; 256:119277
Magnetic resonance in medicine. 2021 Nov; 86(5):2733-2750