Systems biology focuses on the study of the interactions between the components of a biological system, and how these interactions give rise to the function and behavior of that system. Our research considers a number of different aspects of systems biology such as the application of dynamical systems theory to biological systems, extraction, representation, integration and analysis of data from multiple experimental sources, and reconstruction of dynamic systems from the quantitative properties of their building blocks.
Theoretical ecology, disease ecology, population dynamics, and systems biology.
Biochemistry; protein structure and function relationships; protein dynamics; chemotaxis in bacteria.
Basic mechanisms and disorders of neural plasticity; the role of microRNAs in stem cell differentiation.
Combining theory and experimentation to understand how navigational decisions come about in terms of neural-circuit computation.
Cellular communication between bacteria, including mechanisms and biology of contact-dependent growth inhibition; epigenetic gene regulatory mechanisms.
Microbial pathogenesis; innate and adaptive immune responses to infection; coagulopathy and inflammation of sepsis; vaccine development.
Macrophages patrol our tissues looking for signs of injury or infection. The Morrissey Lab wants to understand how macrophages measure, add and subtract all the signals they receive to calculate their response to a target. We use high resolution live imaging, synthetic biology and biochemistry to figure out when and where signaling molecules are activated to make these essential decisions. We are motivated by re-wiring macrophage signaling pathways to generate new cancer immunotherapies.
Aquatic Biology, Behavior, Ecological and Evolutionary Physiology, Evolution, Evolutionary Ecology, Evolutionary Genetics, Macroevolution, Marine Biology, Organismal Biology, Zoology
Professor Beth Pruitt interests lie at the intersection of mechanobiology, microfabrication, engineering and science and her lab specializes in engineering microsystems and biointerfaces for quantitative mechanobiology.
Biological regulatory networks in C. elegans development; mechanisms of apoptosis and tumorigenesis; regulatory mechanisms in stem cell biology.
Quantitative systems biology and bioinformatics; statistical mechanics of non-equilibrium systems.
Genetics, Neural Circuits, and Motor sequences.
Analysis of biological data including sequences, structures, and images; synthesis and analysis of biological networks.
Design, synthesis, and characterization of new bioinorganic materials with an emphasis on understanding interface assembly & control of bioprocesses.
The Wilson Lab comines tools from Biology, Engineering, and Physics to understand the cell's perceptual field.
Bioengineering, Synthetic Biology, Control Theory, Data Science