This seminar is for the Chancellors Faculty Excellence Program: Quantitative and Computational Developmental Biology Cluster Hire.

Many applications in the life sciences involve unknown system parameters that must be estimated using little to no prior information. In addition, these parameters may be time-varying and possibly subject to structural characteristics such as periodicity. We show how nonlinear Bayesian filtering techniques can be employed in this setting to estimate unknown, time-varying parameters, while…