Department of Biology
Theory and Modeling

Computational approaches are used in several research areas of the Department.  In computational genomics we study how complex function is encoded in the genome. In population biology computational approaches are used for example to study the spread of disease agents in populations.  In Neuroscience, computational approaches are used to model biological neurons and small pattern generating networks.  

Faculty working in this area are:

Faculty Quick Description
Rustom Antia
Rollins 1107
I am interested in developing a quantitative understanding of the dynamics of pathogens and immune responses. View Profile.
Gordon Berman
Rollins 2107
Our lab attempts to reveal new insights into animal behavior through developing novel theoretical and computational techniques. We have a particular emphasis on data-driven approaches, pursuing quantitative understanding into entire repertoires of behaviors and aiming to make connections to the genetics, neurobiology, and evolutionary histories that underlie them. View Profile.
Jaap De Roode
Rollins 1113
We study the evolution of parasites and their hosts. One of our main questions is how environmental conditions can select for more or less harmful parasites. View Profile.
Dieter Jaeger
Rollins 2129
We study detailed realistic single cell models in conjunction with slice and in vivo electrophysiology to examine computational properties of cerebellar and basal ganglia networks. View Profile.
Katia Koelle
Rollins 1015
We study the ecological, evolutionary, and within-host dynamics of RNA viruses. Our focus is on viruses affecting humans, particularly influenza and dengue viruses. View Profile.
Bruce Levin
Rollins 1109
We do theoretical and empirical studies of the population biology and evolution of bacteria and their accessory genetic elements and the population dynamics, evolution, and control of infectious disease. View Profile.
Ilya Nemenman
Math & Science Center N240
My group is applying methods of theoretical physics and information theory to understand how biological systems, such as molecular circuits, entire cellular networks, single neurons, whole brains, and entire populations learn from their surrounding environment and respond to it. View Profile.
Astrid Prinz
Rollins 2105
We combine experimental and computational methods to study pattern generation, synchronization, and homeostasis in small neuronal networks. Our work relies on the collaboration of researchers from diverse backgrounds, including biologists, neuroscientists, physicists, engineers, computer scientists, and mathematicians. View Profile.
Leslie Real
Rollins 1001A
Interaction of genetic structure of populations and the ecological dynamics of infectious diseases; molecular evolution in rabies viruses. View Profile.

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