Stem Cell Systems Biology
We use theoretical approaches to gain insight into cellular mechanisms in vivo. Our main interests focus on development and regeneration, processes driven by diverse types of stem cells. These systems nevertheless share essential characteristics, such as the ability to specify and maintain cell fates in dynamic and uncertain environments. Models reveal insight into cell dynamics and the mechanisms underpinning them. Recent work.
We design new algorithms to analyze and understand big datasets. We build mathematical models of cell lineage and signaling processes. We develop methods for statistical inference of multiscale biological models for complex, heterogeneous data. Read more.