I study how living systems build themselves through cell fate decisions and self-organization. I approach
both questions from opposite ends of the spatial scale, from reconstituted molecular systems up to
whole embryos and tissues. My work sits at the interface of quantitative biology, developmental
biology, and molecular engineering, drawing heavily on tools from high-dimensional data analysis and
physics.
Cell fate decisions in development
How a single cell gives rise to the full diversity of an organism remains a central question in
biology. Cell fate is specified as cells integrate their internal state with signals from neighboring
cells and their physical environment. I track this process in the zebrafish embryo, focusing on
three interconnected layers of control: transcriptional regulation, the mRNA
post-transcriptional landscape, and mechanosensing & signal transduction.
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Measuring and modeling cells in space and time
Fate decisions play out across space and time, yet standard measurements usually force a trade-off
between them. I develop and apply multimodal approaches that preserve both, in embryos, tissues, and
cancer. Three ingredients add a spatial and temporal axis to sequencing: metabolic
labeling of new transcripts, spatial-lineage tracing, and multimodal 3D+time
integration.
Measured densely enough, these complex dynamics can be modeled quantitatively.
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Self-organization of biological matter
Living matter organizes itself across scales. To understand how this works, I build reconstituted
systems held far from equilibrium, in which striking patterns, flows, and physical forms emerge
spontaneously from a handful of simple molecular rules: reaction–diffusion patterning
and active matter.
Chemistry and mechanics constantly feed back on one another, deforming, wrinkling, and sculpting the
material. Because every component in these systems is defined, they can be modeled with mathematical
precision and offer direct insight into how tissues pattern themselves in vivo.
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Synthetic biology & molecular programming
Synthetic and engineering-based approaches allow us to deconstruct, modify, and repurpose biological
processes. I design custom molecular programs such as riboregulators, synthetic gene
circuits, and enzymatic DNA reaction networks, which serve two ends:
- As models: minimal, fully controllable versions of tissue patterning, used to test which
ingredients are actually necessary.
- As tools: functional instruments in their own right, such as molecular barcodes for
single-cell identification.
My current work expands into protein engineering, developing molecular architectures designed to
record histories and to rewire signaling pathways.
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