A celebrated and controversial hypothesis suggests that some biological systems—parts,
aspects, or groups of them—may extract important functional benefits from operating at the …

Inverse problems in statistical physics are motivated by the challenges of 'big data'in
different fields, in particular high-throughput experiments in biology. In inverse problems, the …

The evolutionary trajectory of a protein through sequence space is constrained by its
function. Collections of sequence homologs record the outcomes of millions of evolutionary …

Spatially proximate amino acids in a protein tend to coevolve. A protein's three-dimensional
(3D) structure hence leaves an echo of correlations in the evolutionary record. Reverse …

The problem of reconstructing nonlinear and complex dynamical systems from measured
data or time series is central to many scientific disciplines including physical, biological …

Many of life's most fascinating phenomena emerge from interactions among many elements—
many amino acids determine the structure of a single protein, many genes determine the …

In the course of evolution, proteins undergo important changes in their amino acid
sequences, while their three-dimensional folded structure and their biological function …

Flocking is a paradigmatic case of self-organized collective behavior in biology and a living
example of active matter. Several models and theories have been developed in recent years …

Maximum entropy models are the least structured probability distributions that exactly
reproduce a chosen set of statistics measured in an interacting network. Here we use this …

graph underlying an Ising model from iid samples. Over the last fifteen years this problem
has been of significant interest in the statistics, machine learning, and statistical physics …