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PEDIL integrates epidemiology, data science, genomics, behavioral science, and quantitative modeling to understand population health, anticipate emerging risks, and develop practical solutions across human, animal, and environmental systems.
1. Anticipatory Epidemiology & Precision Health
1. Anticipatory Epidemiology & Precision Health
Focus: using data to identify emerging risks, forecast outcomes, and support earlier, more targeted intervention.
PEDIL develops predictive and early-warning approaches that integrate surveillance, environmental, behavioral, and population-level data. We use statistical modeling, machine learning, and AI to anticipate changes in health risk and support proactive decision-making across human, animal, and environmental systems.
Representative work:
FEATHER early-warning platform
predictive surveillance
AI-driven precision biosecurity
HPAI risk forecasting
climate- and environment-linked health risk
population-level forecasting and anomaly detection
2. Genomics, Evolution & Predictive Immunology
2. Genomics, Evolution & Predictive Immunology
Focus: understanding how biological populations evolve, spread, and interact with immunity.
PEDIL integrates genomic, evolutionary, spatial, and machine-learning methods to study transmission, population structure, pathogen evolution, and immune relationships. This work links molecular data to epidemiologic patterns and supports improved surveillance, vaccine matching, and intervention design.
Representative work:
FMDV phylogeography
within-host evolution
PRRSV evolutionary epidemiology
antigenic prediction
PredImmune-FMD
predictive immunology and vaccine candidate prioritization
3. Population Health, Behavior & Resilient Systems
3. Population Health, Behavior & Resilient Systems
Focus: understanding how people, environments, management practices, and system structure shape health outcomes.
PEDIL studies the behavioral, social, environmental, and organizational drivers of population health. We apply epidemiologic and implementation approaches to evaluate interventions, understand decision-making, and strengthen resilient health and production systems.
Representative work:
biosecurity behavior and adoption
antimicrobial stewardship and antimicrobial-use behavior
food-safety interventions
community and stakeholder surveillance
smallholder productivity and livelihoods
broader population-health and social outcomes
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