Large scale models of physical phenomena demand the development of new statistical and
computational tools in order to be effective. Many such models are “sloppy,” ie, exhibit …

We present an analytical method using correlation functions to quantify clustering in super-resolution
fluorescence localization images and electron microscopy images of static surfaces …

The microscopically complicated real world exhibits behavior that often yields to simple yet
quantitatively accurate descriptions. Predictions are possible despite large uncertainties in …

Complex models in physics, biology, economics, and engineering are often ill-determined or
sloppy: their multiple parameters can vary over wide ranges without significant changes in …

Parameter estimation by nonlinear least-squares minimization is a common problem that
has an elegant geometric interpretation: the possible parameter values of a model induce a …

Fitting model parameters to experimental data is a common yet often challenging task,
especially if the model contains many parameters. Typically, algorithms get lost in regions of …

We present a minimal model of plasma membrane heterogeneity that combines criticality
with connectivity to cortical cytoskeleton. The development of this model was motivated by …

Many diverse studies have shown that a mechanical displacement of the axonal membrane
accompanies the electrical pulse defining the action potential (AP). We present a model for …

… In all panels, the shading and error bars indicate ±1 se b, Chemotactic performance v d
as a … Black and grey dots are data points from b plotted against \(\dot I_{s \to a}\)(g) = βg 2 . …

Recent experiments suggest that membranes of living cells are tuned close to a miscibility
critical point in the two-dimensional Ising universality class. We propose that one role for this …