Resume
Academic Achievements
- Key publication: 'The present and the future of microstructure MRI: From a paradigm shift to normal science' (Journal of Neuroscience Methods, 2021)
- Authored/co-authored high-impact papers in Nature Physics (2011), PNAS (2014), NeuroImage (2018), Magnetic Resonance in Medicine (2018), etc.
- Principal investigator on multiple NIH grants, including:
- - NIH/NINDS R01 NS088040 (2014–2025): Mesoscopic biomarkers of neurodegeneration with diffusion MRI
- - NIH/NIBIB R01 EB027075 (2019–2025): Random matrix theory-based noise removal in MRI
- - NIH/NIBIB P41 EB017183 TRD3 (2019–2029): Revealing microstructure: Biophysical modeling and validation for discovery and clinical care
- - NIH/NINDS R61/R33 AT012270 (2024–2029): Development and Clinical Translation of RPBM for Quantitative Assessment of Myofascial Pain
- - Litwin Foundation for Alzheimer’s Research (2012–2015)
Research Experience
- Postdoctoral fellow at Princeton and Yale (2003–2008)
- Developed elastic scattering theory for electrons in graphene and solved the Coulomb scattering problem, explaining the dominant contribution to its electrical resistivity
- Introduced quantized adiabatic charge transport of fractional quasiparticle charge relevant to carbon nanotubes and graphene nanoribbons
- Studied strongly correlated electron states (e.g., Mott insulators) in adiabatically moving periodic potentials, with implications for metrology and quantum computing
- Contributed to understanding collective effects in quantum dot arrays that may explain non-Gaussian (Lévy) fluorescence statistics