Pattern formation in Drosophila embryos (Reinitz).

Biology as a science is in the midst of a major transition, as modern experimental methods are generating data at an unprecedented rate. The availability of this data promises to enable the development of quantitatively detailed models of complex biological systems. Central to the development of this level of understanding are computational approaches to the study of biology.

The Applied Mathematics and Statistics department at Stony Brook houses a strong research program in Computational Biology. Faculty interests span the full range of biological problems: genomic analysis and data-mining, computational structural biology, structure-based drug design, signalling and gene-regulatory networks, and cell and tissue models.

Undergraduate students interested in pursuing research in mathematical and computational biology are encouraged to consider the BioMath@StonyBrook program, in addition to browsing the faculty interests listed here.

A number of interdisciplinary initiatives at Stony Brook provide a strong link between researchers from different backgrounds and foster close interactions between computational and experimental scientists. Among these are the Institute of Chemical Biology & Drug Discovery, the Centers for Molecular Medicine, and the BioSystems group, as well as programs at Brookhaven National Lab.

Computational Biology is a broad and interdisciplinary field, and university-wide interests in the field span many departments and graduate programs, including: