Outcome: Designed and led a multi-year monitoring program that enabled evidence-based assessment of health risks across interconnected human and animal populations, supporting study prioritization and defensible conclusions under uncertainty.

Decision Context

• Health risks were poorly characterized across linked human, animal, and environmental systems
• Data were sparse, heterogeneous, and collected across multiple sites and years
• Stakeholders needed defensible evidence to guide continued investment and study design

What I Led

• Program ownership: Designed and executed longitudinal observational studies from field collection through analysis
• Team leadership: Directed a multidisciplinary team of 15+ researchers across sites and disciplines
• Resource management: Secured and managed $100K+ in competitive funding supporting operations and analysis
• Data integration: Unified human, animal, environmental, and laboratory measures into analyzable longitudinal structures

Impact

• Produced peer-reviewed evidence used to justify continued work and downstream studies
• Enabled comparison of exposure pathways and temporal patterns previously treated in isolation
• Established reusable analytical workflows for future longitudinal monitoring efforts

This work demonstrates decision-focused analytics in messy, high-uncertainty settings—where systems are coupled, data are incomplete, and conclusions still need to be actionable.