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
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 &
This page is maintained by David F. Green <firstname.lastname@example.org>. Last updated: Fri Jun 11 08:24:52 2010.Copyright © 2008 Department of Applied Math & Statistics - Stony Brook University.
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