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 infectious diseases and computational social science. We try to keep a tight loop between data and theory, and learn a lot from confronting models and algorithms with real problems in two key areas:

Infectious Diseases. The lab develops data-informed mathematical models for infectious disease surveillance and countermeasures, including testing, vaccination, and seroepidemiology, primarily for respiratory pathogens such as RSV, flu, and SARS-CoV-2. Past work has also focused on the malaria parasite P. falciparum and its rapid recombination to evade the human immune system. Our goal is to use models and computation to improve the study of pathogens and ultimately decrease the burden of disease. We are a member of the CDC's Insight Net and the epiENGAGE consortium.

The Scientific Ecosystem. The lab analyzes and models 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 works, and how it can be made more equitable and more productive. Here, we continue to build on a decade-old collaboration with the Clauset Lab.

Dan Larremore leads the lab, as an the Associate Chair for Research and an Associate Professor at the University of Colorado Boulder in the Department of Computer Science and core faculty in the BioFrontiers Institute, with an affiliation with the Department of Applied Mathematics, and as a member of the external faculty at the Santa Fe Institute.

Lab News

  • 2025 June 11 - Dan is appointed Associate Chair for Research in the Department of Computer Science
  • 2025 May 30 - Dr. Katie Spoon is headed to Stanford for a postdoc in Data Science, and then to UT El Paso for a faculty position!
  • 2025 May 11 - Dr. Casey Middleton is headed to University of Melbourne for a postdoc in the Dept of Maths & Statistics and the Dept Public Health with Drs. Freya Shearer and James McCaw, while Chethan KP is headed to Northeastern Network Science Institution for a PhD. Congratulations guys!.
  • 2025 April 30 - Congratulations to Dr. Katie Spoon on a successful PhD defense!
  • 2025 April 15 - Congratulations to Chethan KP on a successful MS defense! Chethan is headed to Northeastern for a PhD in Network Science.
  • 2025 April 7 - Congratulations to Dr. Casey Middleton on a successful PhD defense!
  • 2025 February 17 - New preprint out on the arXiv - Misere Connect Four is Solved.
  • 2024 November 13 - Congratulations to Ian van Buskirk on a successful thesis defense!
  • 2024 September 12 - New paper out in Phys Rev E - Model for efficient dynamical ranking in networks.
  • 2024 August 21 - Welcome to new lab members, Kate Barnes and Ben Aoki-Sherwood!
  • 2024 August 15 - Congratulations to Nick LaBerge on a successful thesis defense! Nick's off to a position at the U.S. Census Bureau!
  • 2024 August 12 - Congratulations to Sam Zhang on a successful thesis defense! Sam's off to a postdoc at the Santa Fe Institute followed by a faculty job at the University of Vermont!
  • 2024 July 14 - New review out in Frontiers in Public Health, Infectious disease surveillance needs for the United States: lessons from Covid-19
  • 2024 July 12 - New preprint led by Kate Bubar and Casey Middleton, Fundamental limits to the effectiveness of traveler screening with molecular tests
  • 2024 July 11 - Congratulations to Dr. Kate Bubar on a successful thesis defense! Kate's off to a postdoc at Stanford!
  • 2024 July 1-3 - The lab is at ICSSI 2024! Talks from Katie Spoon, Carolina Chavez Ruelas, and Sam Zhang (delivered by Dan).
  • 2024 June 19 - New paper led by Nick LaBerge in eLife - Gendered hiring and attrition on the path to parity for academic faculty.
  • 2024 June 14 - New paper from Casey Middleton in Science Advances - Modeling the transmission mitigation impact of testing for infectious diseases.