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.
- New paper: Stochastic dynamics of tumor-immune interactions
- New paper: Inferring the parameters of Ca2+ dynamics in single cells
- GRN theory and Arancini
- Cancer immunotherapy at Lund University
- Paper out now: Capybara for profiling intermediate cell states
- Nikith awarded Summer Provost’s Research Fellowship
- Paper out now: age-dependent effects of Igf2bp2 on HSCs
- Paper out now: Single-cell transcriptomic analysis of zebrafish cranial neural crest
- Paper out now: forcing cells to change lineages by cell-cell communication
- Ivy, Jesse, Xiaojun awarded IOA
- QCB departmental retreat
- Lab funded by an NIH R35 MIRA Award!
- Paper out now: multiscale modeling of tumor-immune-EMT dynamics
- New insights into Wnt signaling through a summer fellowship
- Welcome new postdocs Ivy and Jesse!