Associate Professor, University of Oregon
Chief Scientist, Link Oregon
Making networked infrastructure observable, intelligent, and resilient.
Modern networks span physical infrastructure, clouds, programmable systems, and emerging communication platforms. Yet our ability to understand how these systems behave and how they fail often lags behind their growing complexity and importance.
My research develops measurement, systems, and AI techniques to reveal hidden network infrastructure, explain its behavior, and build systems that remain resilient as networks evolve.
We develop measurement and inference techniques that combine network observations with external evidence to uncover physical infrastructure, topology, shared dependencies, and other structure that cannot be observed directly.
We develop systems that connect traffic, routing, telemetry, DNS, active measurements, logs, topology, and infrastructure data to explain what changed, why it changed, and what evidence supports that explanation.
We design systems around hidden dependencies, resource constraints, attacks, physical hazards, and changing operating environments across programmable packet and optical systems, critical infrastructure, cloud and satellite networks, and emerging quantum-classical networking.
Our work on integrating AI into computing curriculum will appear in SIGCOMM workshop!
Excited to receive an NSF CICI TCR grant to work on securing campus CI and REN workflows. Thanks NSF!
Our work on mapping traceroutes to submarine cables will appear in IMC 2026!
Our work on Internet invariants will appear in NINeS 2026! Congrats Chris!
Our work on explainable classifiers for different networking problems will appear in SIGKDD 2026! Congrats Riya!