Quantitative Systems Biology of signal transduction and gene regulation of coding and non-coding RNA
A hallmark of life is organisms’ ability to sense and respond to internal and external signals. Our research interests focus on quantitative and predictive understanding of dynamics in signal transduction and regulation of the coding and the noncoding genome related to human health. We are using a cross-disciplinary approach of biology, physics, engineering and computer science by combining quantitative single-molecule experiments in individual cells with genetics and computational biology. Results from this quantitative systems biology research will help to answer key questions in signal transduction and gene regulation of healthy and diseased tissue, and will significantly deepen our understanding of fundamental biophysical and molecular principles in various research fields.
Current research areas are:
1. To develop physiologically relevant cell perturbations to understand biological systems.
2. To understand the function of the noncoding genome.
3. To revolutionize model predictions in human health.