This research reconstructs viral transmission trees using genomic sequencing data to study how human behavior shapes infectious disease outbreaks. Analyzing COVID-19 transmission in Iceland revealed differences in infectiousness across quarantined and demographic groups, informing vaccine distribution strategies that improved population-level protection and influenced national public health policy.

This research quantifies the uncertainty in chaotic systems, showing why long-term predictions — from planetary motion to weather patterns — become unreliable. By developing mathematical models that capture chaotic behaviour, the work supports applications in traffic flow, wireless communication, climate forecasting, and disease spread, revealing why some systems are inherently more predictable than others.