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.
- Stem cells in the classroom
- Xiaojun speaks at departmental retreat
- Adam gives a cancer research seminar at MIT
- Paper out now: Single-cell multiomics of kidney dimorphism
- OKO Conference in Kyoto
- Paper out now: Single-cell parameter inference of Ca2+ dynamics
- Megan graduates from the lab
- New preprint: Regulatory networks controlling sex differences in the kidney
- New preprint: popInfer for gene regulatory network inference
- Paper out now: Stochastic modeling & inference tumor-immune dynamics
- Paper out now: Julia for biologists
- Congratulations Megan, PhD!
- Talks at UF and Moffitt IMO in Florida
- BIRS: modeling cancer in Banff, Canada
- Paper out now: Stem cell voices carry