Mathematical Biocomplexity
Mathematical Biocomplexity

Areas of Focus

Divisions

We probe the structures of biological systems

Whether it's a subway system or a gene, the structure of a large or complex network determines how well it functions. Yet the scaffoldings of key biomolecules like RNA remain poorly understood. Our research uses mathematical tools to reveal the underpinnings of these systems – information that's leading to new insights into how networks function and why they fail.

Detecting the Makeup of Biological Networks

Our research aims to answer some of the most important questions in biology, including the role of structure in virus behavior and the interactions between RNA molecules.

Genetic Data Information

We're exploring the sequence and structure of genetic data to reveal how changes in one influence the other. This work offers unique insights into cell evolution.

Understanding Large-Scale Networks

We investigate the elements of large biological structures such as long, noncoding RNA molecules, contributing to our understanding of cancer.