Research

Understanding how cells interact and interpret dynamic signaling to create precise spatial patterns during embryonic development is one of the central questions in developmental biology, fertility research, and regenerative medicine.

While answering this directly in humans presents technical and ethical challenges, new tools in stem cell research and bioengineering have opened a window into quantitatively answering these questions in vitro. By integrating these methods with mathematical modeling, such as a novel mathematical and statistical framework we developed inspired by the Waddington landscape formalism (Camacho-Aguilar E, Warmflash A, Rand DA, PLoS Computational Biology 2021, Saez M, Blassberg R, Camacho-Aguilar E et al, Cell Systems 2022), our lab aims to gain deeper insights into human development.

We are dedicated to merging stem cell research and mathematics to enhance our understanding of development. Some topics we are interested in are: dynamic signalling interpretation, cell-cell interactions, patterning, mathematical modelling of cell fate transitions.