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.
- 2022 June 6-9 - Hunter, Katie, and Sam presented at the first International Conference on the Science of Science and Innovation at the National Academies of Science, Engineering, and Medicine, in Washington D.C. At the same time, Casey presented her work at Ecology & Evolution of Infectious Diseases.
- 2022 May 19 - Co-led by Kate Bubar and Casey Middleton, new paper in Nature Communications, SARS-CoV-2 Transmission and Impacts of Unvaccinated-Only Screening in Populations of Mixed Vaccination Status.
- 2022 May 5 - Many in the lab attended A New Synthesis for the Science of Science, organized at the Santa Fe Institute by Aaron Clauset, Dan Larremore, and Mirta Galesic.
2022 May 5 -
Dan recieves the Alan T. Waterman Award from the National Science Foundation.
- 2022 April 12 - New preprint, Labor advantages drive the greater productivity of faculty at elite universities led by Sam Zhang.
- 2022 April 11 - Casey Middleton wins the Departmental Outstanding Research Award for her work modeling vaccinate-or-test strategies!
- 2022 April 11 - Congratulations to Upasana Dutta for a brilliantly defended MS thesis, supervised by Aaron Clauset, and for winning the Bell Foundation Outstanding Research Award! Upasana is off to Penn to work with Duncan Watts this fall.
- 2022 April 11 - Tzu-Chi Yen is recognized with an Outstanding TA Award!
- 2022 March 15 - Dan joins the Editorial Board at PLOS Computational Biology as an Associate Editor.
- 2022 March 1 - Dr. Eun Lee leaves the lab to begin a faculty position at Pukyong National University!
- 2022 January 1 - New preprint, Subfield prestige and gender inequality in computing led by Nick LaBerge.
- 2021 November 4 - As part of the CU Boulder Pandemic Scientific Steering Committee and Science Team, Dan receives the 2021 Robert Stearns Alumni Award for campus service.
- 2021 October 5 - Dan recognized with the 2021 Provost's Faculty Achievement Award for work on COVID-19 vaccine prioritization.
- 2021 September 7 - The Dynamics of Faculty Hiring Networks, led by Dr. Eun Lee, now published in EPJ Data Science.
- 2021 July 15 - Congratulations to Erik Johnson for a fantastic PhD Defense, co-supervised by Stephen Becker (APPM). Erik is off to Invitae as a computational biologist!
- 2021 July 7 - New preprint, Bayesian estimation of population size and overlap from random subsamples led by Dr. Erik Johnson.
- 2021 June 27 - New preprint, Test negative designs with uncertainty, sensitivity, and specificity led by Dr. Erik Johnson.