Research
Geospatial Artificial Intelligence (GeoAI) in Public Health
Integrating machine learning with GIS to identify disease hotspots, predict outbreaks, and model public health scenarios with unprecedented accuracy.
HIV Epidemiology in sub-Saharan Africa
Investigating the spatial dynamics of HIV, including epidemic persistence, the impact of co-infections, and the effectiveness of targeted interventions.
Opioid Crisis and Infectious Diseases
Analyzing the dual epidemics of opioid use and related infectious diseases like Hepatitis C, focusing on syndemic theory and spatial patterns in rural and urban settings.
Global Health & Tropical Diseases
Modeling the spread and control of tropical diseases, considering environmental factors, climate change, and global travel patterns.
Advanced Methodologies in Disease Modeling
Developing and applying novel statistical methods, machine learning algorithms, and complex-systems modeling to address challenges in health data analytics.
Health Disparities and Social Determinants of Health
Using spatial analysis to identify and understand health inequities, focusing on how social and environmental factors contribute to disparities in disease burden.