These aren't funded projects, they're the questions pulling me forward. Each one asks a version of the same thing: can we understand a biological system well enough to predict it, protect it, or restore it?
Decoding neural signal well enough that a prosthetic or a machine interface can move the way a limb once did — eventually giving mobility back to people who've lost it.
What AlphaFold did for protein structure, I want to see done for cellular and stem-cell behavior — predicting how a cell will differentiate, or how tissue will respond immunologically, before it happens in a dish.
Building predictive digital models of cells, tissues, and organisms to simulate biological responses in silico, reducing reliance on animal testing and accelerating translation to humans.
Engineering stem cells, biomaterials, and medical devices into therapeutic platforms that actually reach patients — closing the gap between what we discover in a dish and what helps someone in a clinic.