Structural biology of G-protein signaling.
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 mathematical approaches to the study of biology.
The NSF-sponsored BioMath@StonyBrook initiative aims to provide integrated research experiences for undergraduate students interested in this exciting new area. The program is a joint effort by faculty in several deparments:
The program includes a full summer of group-based research, as well as class-room learning in one of two courses, and is open to majors from Applied Mathematics, Mathematics, Biology and Biochemistry. More information on the program, and how to apply for participation, can be found on the research page, and a list of participating faculty is also available.
Students interested in graduate study in mathematical and computational biology are encouraged to refer to the Computational Biology Group in the department of Applied Mathematics & Statistics.
This page is maintained by David F. Green <dfgreen@ams.sunysb.edu>. Last updated: Fri Jun 11 08:24:52 2010.Copyright © 2008 Department of Applied Math & Statistics - Stony Brook University. All rights reserved.