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 1017
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.
Dave Civitello
Rollins 1011
Why do epidemics grow large in some places but not others? Our current research aims to build new theory for disease outbreaks that can explain parasite transmission and reproduction in heterogeneous populations and dynamic environments. We combine field surveys, experiments, and mathematical modeling to improve predictions and control of disease outbreaks that are relevant for biodiversity conservation and human health. 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.
David Gorkin
Rollins 1009
How does a single genetic blueprint give rise to the trillions of highly specialized cells that make up a human being? To carry out this amazing feat, cells have a vast array of proteins that layer epigenetic information on top of the genetic blueprint -- collectively referred to as the "epigenetic machinery". My research uses genomic approaches to understand how this epigenetic machinery works, and what happens when it malfunctions. 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.
Micaela Martinez
Research in our lab focuses on infectious disease ecology and evolutionary immunology. We study circadian rhythms and seasonal changes in the human body, as well as seasonal aspects of human health, including disease outbreaks, births, and fertility. Our research aims to understand how ecology, demography, and physiology intersect to drive the transmission of epidemic-prone diseases, including polio, measles, chickenpox, and SARS-CoV-2. Our research falls into four themes: (1) infectious disease transmission and vaccination, (2) maternal immunity, (3) human biological rhythms, and (4) environmental health justice. 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, Emeritus
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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