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Yale | School of Medicine
EPFL | School of Computer Science
Laboratory of Intelligent Global Health Technologies
Health equity = 𝒇(data)
What?
Data science for global health
We use informatics and data science to create implementable digital health tools designed to provably improve healthcare in resource-limited settings
Why?
Equitable accuracy
When populations are under-represented in predictive tools, they risk disproportionate exposure to inaccuracy. We collect high-quality data on neglected populations and health concerns to concentrate accuracy where it is needed most.
How?
Capacity building through & during research
We integrate training and capacity building into our projects to have a direct and provable impact on patient outcomes during and through research
See our [academic exchange program] and [hospital renovation project]
Who?
Global Academic-NGO Network
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We work with collaborators across Sub-Saharan Africa and several international NGOs to ensure needs-based, implementable technology and fair data ownership.
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