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Stem Cell Systems Biology

We use theoretical approaches to gain insight into cellular mechanisms in vivo. Our main interests focus on development and regeneration, driven by diverse types of stem cells. These systems nevertheless share essential characteristics, such as the ability to specify and maintain cell fates in uncertain environments. Models reveal insight into cell dynamics and the mechanisms underpinning them. Recent papers.


We design new algorithms to analyze single-cell and multi-omic datasets. We build models of cellular signaling dynamics and cell fate decision-making. We develop methods for Bayesian parameter inference of multiscale models with heterogeneous data. Read more.

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