Experience
Postdoctoral Researcher
- AI in medical imaging & healthcare data: trustworthy, locally governed clinical AI for neurology and surgery.
- Cross-modality generative AI: synthesize amyloid PET from structural MRI when PET is unavailable.
- Foundation-model framework for resting-state fMRI to learn healthy brain dynamics (self-supervised).
- Real-time computer vision for DaVinci robotic gynecologic surgery: detection and promptable segmentation with visibility-aware tracking.
Graduate Research Assistant
- Image processing and deep learning for amyloid PET quantification in Alzheimer's disease.
- MRI-assisted and MRI-less DL segmentation; quantitative equivalence to FreeSurfer across multi-site cohorts.
- Tracer characteristic-based co-registration for simultaneous PET/MR motion correction.
- Large-scale stats: Centiloid calibration, equivalence testing, ROC, bootstrap; collaboration across nuclear medicine, radiology, neurology, and CS.
Education
Ph.D. in Biomedical Engineering
GPA: 3.85/4.0
Dissertation: "Optimizing Quantification in Alzheimer's Disease with PET Imaging through Advanced Imaging and Deep Learning Techniques"
B.S. in Biomedical Engineering
GPA: 3.76/4.30 (Upper Division: 3.86/4.30)
Technical Skills
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Deep Learning
Medical Imaging
Imaging Tools
Research & Publications
"Amyloid PET quantification with deep learning segmentation models without MRI"
MRI-less path: synthetic CT training, external PET/CT validation — click to pin context.
"Motion correction of simultaneous brain PET/MR images based on tracer uptake characteristics"
TCBC co-registration before quantification — reduces motion-induced bias.
"Deep learning MR-based segmentation approach for amyloid PET quantification (LEON)"
LEON vs FreeSurfer diagnostic equivalence across cohorts.
"Prediction of MCI-to-AD progression with atrophy-weighted standard uptake value ratios of ¹⁸F-Florbetapir PET"
Preprint — atrophy-weighted SUVR for progression prediction.
"Evaluation of Deep Learning Models for Brain Parcellation in Neuroimaging of Alzheimer's Disease"
Conference poster on DL parcellation for AD neuroimaging.
"Correction for Involuntary Motion of Simultaneous PET/MR Brain Scans Based on Regional Tracer Characteristics"
Early TCBC presentation at SNMMI.
"Deep learning–based image processing and analysis with cloud computing for open-source imaging software"
Cloud DL tooling for open-source imaging workflows.