Research without systems is incomplete. Systems without research are fragile.
This section documents my work at the intersection of connected surgical intelligence, multimodal perception, and high-stakes AI systems—examining not only models, but the infrastructure, reliability, and economic constraints required to deploy them responsibly.
Explore by Domain
Show all domainsEach domain reflects a layer of research and system architecture. Click to explore.
Connected Surgical Intelligence
Designing measurable, verifiable surgical systems that reduce preventable error.
AI Architecture & Infrastructure
Production-grade machine learning systems, deployment patterns, and infrastructure economics.
Governance & Reliability
Risk management, compliance, and building accountable AI systems for healthcare.
Vision & Perception Systems
Multimodal sensing, calibration, and structured scene understanding in high-stakes environments.
Foundation Models & Learning Dynamics
Representation learning, structured adaptation, and the practical limits of large models.
Governance & Reliability
The Mirage of Intelligence
Why Superficial AI Narratives Are Dangerous — and What Real Leadership Looks Like
The Line Between a Prediction and a Patient
What happens when AI is wrong, and who bears the consequences? Why the engineers who understand where probabilistic predictions end and consequential decisions begin are the ones who will matter most.