- Global Health Collaboration: Partnering with WHO, UNICEF, and national health ministries to apply epidemic and behavioral modeling frameworks to real-world disease surveillance and prevention, particularly in low-resource settings.
- Applied Mathematical Epidemiology: Translating theoretical modeling into actionable public health strategies using network analysis, data science, and behavioral modeling to strengthen epidemic preparedness and reduce health inequities.
- Capacity Building & Policy Impact: Integrating UN global-health perspectives into teaching and research, presenting at international health forums, and pursuing WHO-aligned grants to expand Lehigh’s role in data-driven global health solutions.