About the lab


Larremore Lab Collaboration Graph.

The Larremore Lab focuses on developing methods of networks, dynamical systems, and statistical inference, to solve problems in biological and social systems. We try to keep a tight loop between data and theory, and learn a lot from confronting models and algorithms with real problems.

In biological systems, we focus on the spread and evolution of infectious disease. Although shifting focus toward COVID-19 testing, seroepidemiology, and vaccination, the lab also focuses on the malaria parasite P. falciparum and its rapid recombination to evade the human immune system. Our goals are broadly to understand the interplay between pathogen evolution and human immunity, and its implications for virulence, population structure, and most critically, countermeasures.

In social systems, we focus on understanding the patterns and processes that define the ecosystem of scientific research and discovery. Our goal is to combine rigorous computation, ecological theory, and social science to understand how the scientific community can be made more equitable and more productive. Here, we continue to build on a decade-old collaboration with the Clauset Lab.

The Larremore Lab is led by Dan Larremore, an assistant professor at the University of Colorado Boulder in the Department of Computer Science and the BioFrontiers Institute, with an affiliation with the Department of Applied Mathematics, and with the Center for Communicable Disease Dynamics at the Harvard T.H. Chan School of Public Health. The lab is part of CU's Complex Systems Group and many students in the lab are also officers in the Boulder/Denver chapter of the Society of Young Network Scientists.

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