Complex Systems

Complex Systems

Labs studying Complex Systems

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Bradley Lab

The Bradley Lab analyzes time-series data from complex adaptive nonlinear systems, including developing algorithms to reconstruct the full dynamics of a system from a scalar time series. Applications of this work range from digital computers to human gait analysis.Ìý

Clauset Lab

The Clauset Lab uses network science to study how small-scale interactions drive large scale patterns in complex social and biological systems. Further, they apply machine learning to infer causality or make predictions in diverse problems such as body size evolution, terrorist network activity, and the social hierarchies and inequities in scientific ecosystems, or the science of science.Ìý

Donaldson Lab

The Donaldson Lab studies the mechanistic basis for individual differences in behavior and how these impact the likelihood to develop mental illness. They use prairie voles, mice, and post-mortem human tissue in advanced neurogenetic and circuit-level analysis to better understand how genes and environment shape who we are.Ìý

Figueroa Lab

The Figueroa-Morales Lab studies soft matter physics at the interface of microorganisms and the environment (such as bacteria moving through human mucus) using tools like microfluidics and quantitative video microscopy. They address practical problems like the transport of microorganisms in the environment and the prevention and treatment of medical conditions.Ìý

Kissler Lab

The Kissler Lab seeks to make the world more resilient to infectious diseases by studying how pathogens interact; how our bodies, communities, and societies respond to infection; and how epidemics compound other major threats to our well-being using the latest data, statistics, and computational methods.

Larremore Lab

The Larremore Lab develops computational methods and mathematical models rooted in network science, dynamical systems, and statistical inferences and applies them to real-world problems spanning infectious diseases and social sciences. Their work has been used globally to inform on critical public health policies.

Layer Lab

The Layer Lab studies they ways in which genetic variation affects human health by developing computational genomics tools to analyze population-scale datasets. They are particularly interested in large chromosomal rearrangements (or, structural mutations) and uncovering how those contribute to the spectrum of normal human variation across global populations and which of those are causal factors in cancers.Ìý

Myers Lab

The Myers Genetic Logic Lab engages in interdisciplinary synthetic biology work in the overlap between electrical engineering, mathematical modelling, and genetic biology. Examples include: creating genetic design automation programs similar to automation design programs for electronic circuits, stochastic verification of genetic models, and a repository for storing and sharing genetic constructs.Ìý

Peleg Lab

The Peleg Lab investigates how organisms or super-organism communities buffer themselves against large environmental fluctuations and adapt over a wide range of length and time scales. They combine computation, physics, engineering, mathematics, and biology and look to natural populations such as fireflies and honey bees for bioinspired technological solutions to infrastructure problems, including communications, robotics, and structural engineering.ÌýÌý

Spencer Lab

The Spencer Lab investigates cell signaling mechanisms to understand how these signals go awry in cancer with the goal of altering the fate of individual cells. They study single cells, which display remarkable variability in these processes within a genetically identical cellular population, using fluorescent sensors they developed in long-term live-cell microscopy and cell tracking experiments to quantify signaling dynamics controlling cell fate.