# Mathematical Biology

Significant interactions between mathematics and biology began at least a century ago in population dynamics models. Today, mathematical ecology and population biology represents the confluence of two great traditions, one originating with the work of Lotka and Volterra in their study of population dynamics, and a second developed by Haldane, Fisher, and Wright to study the mechanisms of inheritance.

We have similar foundational contributions from mathematics to a variety of areas in biology: Poiseuille's Law for blood flow, the Hodgkin-Huxley model for electrophysiology, the Michaelis-Menten relation for enzyme kinetics, and the Berg and Brown model for bacterial chemotaxis are just four of many possible examples.

Powerful new techniques in molecular biology, physiology, genetics, and ecology are taking biology into a much more quantitative era. As mathemticians analyze the increasing volume of data and model increasingly more intricate biological phenomenon, we are seeing more and more how mathematics is a unifying force in biology.

Thus modern biology is calling upon a team of experts in order to continue to keep pace with the vast array of quantity information from the field and from the laboratory. Today, mathematicians with expertise as diverse as non-linear partial differential equations, dynamical systems, probability, statisitics and stochastic processes, combinatorial mathematics, graphs and networks, and low dimensional topology are engaged in this broad endeavor.

## Members

## Jim M Cushing

Professor, Applied Mathematics - GIDP

## Andrew Gillette

Assistant Professor, Applied Mathematics - GIDP

## Joceline C Lega

Professor, Mathematics

Professor, Public Health

Coordinator, Mathematics Postdoctoral Program

## Timothy Secomb

## Michael Tabor

## Joseph C Watkins

Professor, Applied Mathematics - GIDP

Professor, BIO5 Institute

Professor, Mathematics

Professor, Genetics - GIDP

## Calvin Zhang

Assistant Professor, Neuroscience - GIDP