Biomedical engineer & neuroimaging researcher working at the intersection of MRI physics, reproducible data pipelines, and clinical research. I work with diffusion-MRI, functional MRI, and brain-age models for pediatric cancer survivor populations, and turn messy neuroimaging workflows into pipelines that actually run end-to-end on HPC.

Currently a Study Coordinator in Radiology at Albert Einstein College of Medicine (PI: Tim Duong), working on neuroimaging of pediatric cancer survivors.

Outside the lab: guitar, badminton, and chasing clear skies for astrophotography 🔭 — planetary conjunctions and the occasional moon shot.

• Brain-age prediction in pediatric cancer survivors — DL model ensembles (ViT / CNN, diffusion-based) in PyTorch
• Diffusion-MRI microstructure — NODDI, DKI, WMTI, and free-water modeling applied to different clinical cohorts like leukemia survivors, ASD
• Functional MRI preprocessing - Preprocessing of functional MRI data for resting-state and task-based fMRI studies
• Reproducible HPC pipelines — registration (ANTs), preprocessing, and analysis workflows built to run reliably on a Slurm cluster
• Recently submitted a Systematic review on chemotherapy-related brain changes in pediatric cancer survivors (under review)

• Microvascular and microstructural brain abnormalities in paediatric haematological cancer survivors are related to cognitive deficits: An IVIM-FWI MRI study — British Journal of Haematology (2026). A three-compartment IVIM-FWI diffusion model revealed reduced microvascular perfusion and increased free water in survivors' brains, in regions tied to cognition — and those changes tracked with poorer cognitive test performance.
• MRI Textural Changes Are More Sensitive Than Volumetric Changes in the Amygdala of Cocaine Use Disorder Patients (first author) — NMR in Biomedicine (2026). Amygdala texture features detected longitudinal brain changes that volumetry missed, pointing to texture analysis as a more sensitive imaging biomarker.

Full list on Google Scholar →

Neuroimaging stack: FreeSurfer · FSL · ANTs · dipy · MRtrix · SPM · TBSS · NODDI · DICOM / NIfTI / BIDS

Neuroimaging pipelines · quantitative MRI physics · building reproducible research workflows on HPC · life abroad as an expat (US 🇺🇸 / Germany 🇩🇪)

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