Projects

Using artificial intelligence and geospatial modeling to detect and monitor outbreaks of transmissible diseases in near real time across Rio de Janeiro.

Using machine learning and optimization to monitor cancer patient trajectories in real time and flag deviations that call for intervention.

Building accessible AutoML tools that let researchers across the Global South analyze, study, and respond to epidemics and pandemics without needing specialized machine learning expertise.

Using machine learning to extract and analyze data from health-related judicial litigation and health technology assessment reports.

Developing methods that bring formal statistical guarantees to machine learning models used in health, policy, and other high-stakes decisions.