Blog

On medical supply chains, the problems nobody wants to work on, and why designing for the average is a quiet decision to accept the tail.

On robust optimization, adjustable robust optimization, distributionally robust optimization, and the discipline of writing down what you don't know.

On the ambulance, the desk, and the inheritance of a first squad.

On prediction, inference, and the temperamental disagreement underneath the methodological one.

On Gaborone, Macapá, and the geography underneath every health system.

On the gap between what machine learning can do for global health and what it actually requires to do it.

Notes on parachute research, the gradient between collaboration and extraction, and the questions worth asking throughout a project.