Research
Projects
Current Projects
Goal: Study how AI agents, governed collaborative memory, oversight, and human-in-the-loop workflows shape scientific reasoning
Methods: AI-human interaction analysis, agentic research workflows, collaborative memory governance, audit design, and evaluation of AI-supported scientific cognition
Impact: Positions the lab at the intersection of AI-human interaction, agent governance, scientific decision support, and applied epidemiology.
Goal: Identify and characterize evolving HIV hotspots across multiple African countries
Methods: Geostatistical interpolation, Bayesian smoothing, HIV care-cascade mapping, and AI-supported evidence synthesis
Partners: University of Cincinnati, Harvard, local ministries of health
Output: Targeted maps for national program use; publications in Lancet HIV, BMJ Global Health
Goal: Use rapid tests for recent infection to support precision public health strategies amid changing HIV epidemiology
Methods: Recent-infection indicators, spatial risk mapping, implementation analytics, and dashboard-oriented translation
Impact: Supports next-generation HIV hotspot targeting and program adaptation in sub-Saharan Africa.
Goal: Analyze joint burden of HIV and non-communicable diseases using population-level geospatial data
Methods: Hotspot mapping, spatial autocorrelation, multilevel modeling
Use Case: South Africa, Zambia
Past Projects (Selected)
Identified critical spatial disparities in HIV testing using DHS data. Supported targeted resource allocation for provincial health planners.
Developed one of the first mechanistic models for disease interaction at a systems level. Helped shape understanding of interdependent disease burdens.
Created fine-scale geospatial analysis of ART access, diagnosis rates, and viral suppression. Published results directly influencing subnational HIV programs in SSA.
Proposed and validated new epidemiological indicators to prioritize intervention zones. Widely cited in strategy documents and used in dashboarding projects.