Research

Neuroimaging methods, MRI biomarker development, and scalable analysis pipelines.

Current Topics

Chemobrain Brain-age analysis — Apply machine learning algorithm for predicting Brain age for chemobrain cohort.
fMRI task design — Design and implement fMRI task followed by analysis for ASD cohort.
Diffusion MRI microstructure modeling — End-to-end pipelines including NODDI-Bingham and large-scale GPU/HPC workflows.
Low-field MRI biomarkers — Texture-based and volumetric markers evaluating low-field MRI sensitivity in neurologic and substance use disorder applications.
Multimodal MRI pipelines — Reproducible preprocessing and QC workflows for dMRI, fMRI, ASL, and structural MRI using standardized toolchains.

Experience

Study Coordinator, Radiology 2024 – Present

Albert Einstein College of Medicine, New York

Pre/post-processing of dMRI, fMRI, ASL, and structural MRI; HPC-based pipeline automation
Toolchains: FSL, FreeSurfer, AFNI, ANTs, SPM, DIPY, Python, Pytorch, MONAI tools
Data curation, QC, regulatory documentation, and student mentoring

Visiting Scholar, Accessible MR Laboratory 2024

Johns Hopkins University School of Medicine

Low-field MRI optimization; volumetric and texture-based biomarker development

Associate Researcher I, Accessible MR Laboratory 2023

Icahn School of Medicine at Mount Sinai

MRI preprocessing and segmentation (FSL, FreeSurfer, ANTs); spectroscopy localization support

Student Research Assistant, Interdisciplinary Research Lab 2022

Technical University of Munich, Germany

PET-MR DICOM sorting automation, image registration, optical tracking calibration (Python, C++)

Publications

* Equal contribution

Nguyen HQ, Hadidchi R, Eligulashvili A, Nandi S, et al. COVID-19 and Radiological Progression of Multiple Sclerosis. Diagnostics, 2026;16(10):1513. doi:10.3390/diagnostics16101513

Nandi S, Poojar P, Taufique S, et al. Magnetic Resonance Imaging textural changes are more sensitive than volumetric changes in the amygdala of cocaine use disorder patients. NMR in Biomedicine, 2026. doi:10.1002/nbm.70193

McKenna FF*, Nandi S*, et al. Microvascular and microstructural brain abnormalities in pediatric hematologic cancer survivors. British Journal of Haematology, 2025. doi:10.1111/bjh.70300

Technical Skills

Methods Diffusion modeling (DTI, DKI, NODDI-Bingham), tractography, fMRI (task & resting-state), ASL, MR spectroscopy, structural morphometry, radiomics/texture analysis, machine & deep learning

Neuroimaging FSL, FreeSurfer, MRtrix, ANTs, AFNI, SPM, DIPY, Slicer, jMRUI

Programming Python, C++, MATLAB, R, Shell, SQL, LaTeX

Libraries PyTorch, NumPy, SciPy, Pandas, Matplotlib, Seaborn, Nibabel, Pydicom, Mahotas

Infrastructure Linux, HPC/Slurm, Git, Docker

Awards

DIY MRI Workshop Signal Scout Award, 2026
DIY MRI Workshop Travel Award, 2026
ISMRM Trainee Stipend, 2024
TUM Conference Travel Award (€1,000)
JIS College Blue 2017 — Best Student Award, JIS College of Engineering
JIS Samman — Departmental Topper, 2015–2016