MIEO (Masked Input Encoded Output): self-supervised embeddings for clinical tabular data; handles missing values and mixed types for CVD risk prediction.

Planning to Fairly Allocate: Probabilistic Fairness in the Restless Bandit Setting (KDD 2023)

Portfolio demonstration: A lightweight demo calling Google Gemini 1.5 Flash from Python to generate healthcare ML content.

End-to-end MLOps project for colorectal cancer survival prediction using MLflow, DagsHub, Kubeflow, and Kubernetes. Features automated ML pipelines, experiment tracking, and containerized deployment.

Clinical Reasoning Platform Base Repository

Advanced machine learning system for cardiovascular disease risk prediction using clinical biomarkers and patient health indicators

GenAI’s 2nd Opinion

Implement logistic regression using Python and scikit-learn to classify malignant vs. benign tumours from the Breast Cancer Wisconsin (Diagnostic) dataset

Interpretable ML pipeline for modeling postprandial glucose responses (PPGR) from multimodal signals (CGM + meals + context). Code only—no data.

AI in Healthcare, Stanford Medicine