I am a graduate student in Chemistry. My graduate work has been the statistical physics of biomacromolecules (especially proteins), but the strategies to model and understand protein folding kinetics and thermodynamics naturally evolved into the application of Bayesian statistics. Bayesian methods are appealing because of their flexibility and because they can incorporate the effect all collected data on our assessment of models.

E-mail: densign@stanford.edu