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 …

The intricate and complex features of enzymatic reaction networks (ERNs) play a key role in
the emergence and sustenance of life. Constructing such networks in vitro enables stepwise …

Regulatory networks as large and complex as those implicated in cell-fate choice are
expected to exhibit intricate, very high-dimensional dynamics. Cell-fate choice, however, is a …

Soils store the largest amount of carbon (C) in the biosphere, and the C pool in soil is critical
to the global C balance. Numerous microbial models have been developed over the last few …

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 …

In systems biology, one of the major tasks is to tailor model complexity to information content
of the data. A useful model should describe the data and produce well-determined …

We must often infer latent properties of the world from noisy and changing observations.
Complex, probabilistic approaches to this challenge such as Bayesian inference are …

The inherent complexity of biological systems gives rise to complicated mechanistic models
with a large number of parameters. On the other hand, the collective behavior of these …

Biogeochemical models increasingly consider the microbial control of carbon cycling in soil.
The major current challenge is to validate mechanistic descriptions of microbial processes …

We explore the relationship among experimental design, parameter estimation, and
systematic error in sloppy models. We show that the approximate nature of mathematical …