Healthcare AI
Applied machine-learning work around structured healthcare data and clinical decision-support research.
Explainable AI
Interest in systems whose outputs, model behavior, and limitations can be inspected and communicated clearly.
Model Evaluation
Controlled comparison, validation, threshold-aware evaluation, error analysis, and evidence-driven reporting.
Secure AI Systems
Research and engineering choices that consider privacy, access control, auditability, and responsible public release.