Research
Publications, papers, and research contributions in AI, healthcare, and representation learning.
CheX-Nomaly: Lung Abnormality Segmentation
Contrastive Siamese localization model disentangling disease labels from bounding boxes to improve generalization.
Automated Coronary Calcium Scoring
Semi-supervised U-Net segmentation of non-gated CT scans for cardiovascular risk stratification.
False Negative vs False Positive Tradeoffs
Cost-sensitive analysis of error tradeoffs in binary medical ML tasks.
Brain Tumor Segmentation via Mask R-CNN
Image-subtraction-based Mask R-CNN for heterogeneous tumor segmentation.
PneumoXttention: Pneumonia Detection
Attention-augmented CNN to compensate for diagnostic variability in CXR interpretation.
Yale Oncology Lab – Eovist MRI GANs
Teacher–student GANs for liver MRI synthesis and segmentation enhancement (6k+ slices).
Cardiovascular Patient Embeddings (Kellis Lab)
Unsupervised latent embeddings for 10k+ patients to identify high-risk cohorts.
Alzheimer's MRI Latent Space Modeling
Latent MRI embeddings capturing disease progression and stage separability.
Water Consumption Disaggregation
Appliance-level inference from smart-meter time series using shape-based clustering.
Fraud Detection (Gupta Lab)
LSTM/Transformer sequence models on 1M+ transactions improving F1 and lowering false positives.
O-Health Symptom Extractor
Unsupervised clustering of 50k+ patient records to infer medical specializations.