Mathematical Biocomplexity

Mathematical Biocomplexity

Bringing informational theory to biology

Harnessing the power of massive datasets, we uncover the hidden relationships among the building blocks of life, allowing new insights into evolution, molecular interactions and network dynamics. The work we're doing to solve the mysteries of "junk DNA" — the 98% that is non-coding — and RNA leads us to innovations in bioinformatics that are helping to demystify how viruses mutate and advance personalized cancer treatments.

jellyfish on a orange background

Our Team

From molecular evolution to computer programming, the range of expertise in our transdisciplinary team allows us to tap information from biological systems in entirely new ways. Together, we're advancing foundational knowledge, collaborating with the institute-wide research community and using the insights we gain to help advance the science of biocomplexity.

Our Focus Areas

Pick any key component of life, and within it you'll find a complex system, whether it's a snippet of RNA or a network of cells. Our work centers on a trio of challenging and understudied areas of biology.

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.

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.

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