Mathematical Medicine and Biology seminar | Abhyudai Singh, Stochastic Inference of Regulatory Networks Inside Living Cells

In the noisy cellular environment many mRNA and protein species occur at low integer molecular counts, and hence are subject to large stochastic fluctuations in copy numbers over time. Far from being a hindrance, signatures of protein/mRNA noise levels can be informative about the underlying gene network topology. In this talk, I will present recently developed mathematical techniques that harness fluctuations in the levels of biochemical species for systems identification of gene regulatory networks. Finally, I describe our current efforts in using these techniques for reverse engineering the genetic circuitry of the human immunodeficiency virus (HIV).