Hina Aftab Khan

The paper shows that a single snapshot of combinatorial signaling can predict cell fate in human embryonic patterning using Sig2Fate, a method combining immunofluorescence, information theory, and machine learning.

The paper shows that the time integral of BMP signaling determines cell fate in human pluripotent stem cells, with duration and level of signaling being interchangeable in this context.

The paper demonstrates that geometric control of human pluripotent stem cells with BMP4 leads to efficient differentiation into hPGC-like cells, revealing NODAL signaling's critical role and improving differentiation efficiency.