Browse publications on Google Scholar (top-right) ↗
Resume (English only)
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