Our research develops new ways to measure and analyze complex biological systems. We combine experimental technologies with mathematical and AI-driven analytical frameworks to understand how heterogeneous molecular components collectively give rise to system-level behavior. The work integrates ideas from chemistry, engineering, physics, modern statistics, and artificial intelligence. Current projects span viral evolution, membrane protein signaling, and spatial molecular organization in the brain.
MEASURE
Develop high-resolution experimental platforms to observe biological systems in their native complexity.
INTERPRET
Create mathematical and AI-driven frameworks that translate high-dimensional measurements into interpretable biological insight.
UNDERSTAND
Apply these approaches to reveal how molecular organization gives rise to system-level behavior in complex biological systems.