Mathematical Biology
Mathematical biology (also known as quantitative biology, mathematical life sciences, theoretical biology, etc.) is a growing area of research that involves the collaboration of mathematics, biology, medicine, physics, chemistry and the social sciences to construct models of phenomena in the life sciences. These models are used to confirm, explore and predict the biological, mechanical, chemical and social causes and structures that create and influence biological processes. This allows the researchers to understand how these underlying processes work in order to diagnose, cure, prevent and influence the system. This work is inherently collaborative due to the large scope of the problems that are examined, and their impact can felt at the microscopic sub-cellular level to the individual person to the worldwide environmental level.
Sample Research Topics
- population dynamics and epidemiology
- human physiology
- cardiovascular dynamics
- inflammation
- wound healing
- ecology and epidemiology
- respiratory system
Faculty
- David Chan, Ph.D.
- Laura Ellwein Fix, Ph.D.
- Punit Gandhi, Ph.D.
- Cheng Ly, Ph.D.
- Allison Moore, Ph.D.
- Reed Ogrosky, Ph.D.
- Angela Reynolds, Ph.D.
- Suzanne Robertson, Ph.D.
- Jan Rychtar, Ph.D.
- Rebecca Segal, Ph.D.
- Dewey Taylor, Ph.D.
- Oyita Udiani, Ph.D.