I am dedicated to uncovering the fundamental principles that guide the earliest stages of human embryonic development. My research centers on gastrulation and neurulation—the critical periods when the body’s axes and germ layers are established. I am particularly interested in how key signaling pathways, such as BMP, Wnt, Nodal, and FGF, work together to transform the simple blastocyst into the complex organization of the human body. My goal is to answer central questions like: How do dynamic signaling events, rather than just static gradients, control cell fate and spatial patterning? What self-organizing principles allow for reproducible developmental patterns to emerge from cell-cell communication? And how can we bridge the gap between molecular mechanisms and tissue-level developmental processes?
To address these questions, I use bioengineered human pluripotent stem cell systems with controlled geometry, creating reproducible embryo-like models that allow us to study developmental patterning in ways not possible in vivo. Through this approach, my lab discovered that developmental patterning is governed by signaling fronts that move through cell colonies, with the timing and dynamics of multiple signals determining cell fate—challenging the traditional textbook view of static gradients. This shift in understanding has important implications for both developmental biology and regenerative medicine.
My path into this field began with a love of mathematics and physics, which I studied at the University of Pennsylvania. During my PhD in Physics at the University of Chicago, I became fascinated by living systems as examples of nonequilibrium systems, leading me to collaborate with biologists and, eventually, to immerse myself in experimental biology during my postdoctoral work at The Rockefeller University. What continues to captivate me is the idea that living organisms, with all their complexity and dynamism, can be understood through quantitative approaches.
One of my most significant contributions has been the development of a micropatterned human pluripotent stem cell system to model early mammalian development, published in Nature Methods in 2014. This method has been widely adopted and has enabled key discoveries about how embryos self-organize. I have been honored to receive recognition for my work, including being named a Simons Investigator in Mathematical Modeling of Living Systems, receiving an NSF CAREER Award, a CPRIT Scholar in Cancer Research, and the Duncan Award for Faculty Excellence at Rice University.
I am committed to advancing our understanding of mammalian development, with the hope that these insights will inform new approaches to developmental disorders and regenerative medicine.
Human pluripotent stem cells; in vitro models of human development; morphogen signaling pathways and control of cell fates; BMP, WNT, and nodal signaling pathways; self-organized developmental patterning; germ layer formation and differentiation; ectoderm patterning and morphogenesis
Pattern Formation in Cell Cultures. Annual Review of Biophysics. 2026.
ETVs dictate hPSC differentiation by tuning biophysical properties. Nature Communications. 2025; 16(1):1999.
Criteria for the standardization of stem-cell-based embryo models. Nature Cell Biology. 2024; 26(10):1625-1628.
Combinatorial interpretation of BMP and WNT controls the decision between primitive streak and extraembryonic fates. Cell Systems. 2024; 15(5):445-461.e4.
Membrane potential drives the exit from pluripotency and cell fate commitment via calcium and mTOR. Nature Communications. 2022; 13(1):6681.
cytoNet: Spatiotemporal network analysis of cell communities. PLoS Computational Biology. 2022; 18(6):e1009846.
Nodal is a short-range morphogen with activity that spreads through a relay mechanism in human gastruloids. Nature Communications. 2022; 13(1):497.
Reaction-diffusion models for morphological patterning of hESCs. Journal of Mathematical Biology. 2021; 83(5):55.
Human neural tube morphogenesis in vitro by geometric constraints. Nature. 2021; 599(7884):268-272.
BMP-treated human embryonic stem cells transcriptionally resemble amnion cells in the monkey embryo. Biology Open. 2021; 10(9).