What we work on
Research
We develop use-inspired AI for social impact, building new techniques in multi-agent systems and machine learning for two core domains.
Public Health
Trustworthy information, interactive agents, and decision support for maternal and reproductive health, built together with clinicians and patients.
See Public Health publications →Conservation
Machine learning for wildlife monitoring and environmental health, from interpretable re-identification to geospatial contamination mapping.
See Conservation publications → Explore PFAS Dashboard →Physics-Informed Machine Learning
Machine learning methods that incorporate physical structure, mechanistic knowledge, and scientific constraints for reliable modeling of complex systems.
See Physics-Informed Machine Learning publications →