Our research is driven by an ongoing dialog between experimental measurements and
theoretical modeling. We build our models on the most salient features of a system,
and use our results as predictions and guidance for future experiments. Our diverse,
interdisciplinary projects are characterized by the common goal of identifying
organizing principles of complex systems.
R. Wang and R. Albert
Effects of community structure on the
dynamics of random threshold network Phys. Rev. E (in press, 2013).
S. Lass, P. J. Hudson, J. Thakar, J. Saric, E. Harvill, R. Albert,
Generating super-shedders: co-infection increases
bacterial load and egg production of a gastrointestinal helminth. J R
Soc Interface 10, 20120588 (2013)
Assieh Saadatpour, Rui-Sheng Wang, Aijun Liao, Xin Liu, Thomas P. Loughran, Istvan Albert and Reka Albert
Dynamical and Structural Analysis of a T Cell Survival Network Identifies Novel Candidate Therapeutic Targets for Large Granular Lymphocyte Leukemia PLoS Computational Biology 7:e1002267 (2011).