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Daniel Larremore

Harvard School of Public Health

Postdoctoral Research Fellow

Epidemiology

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http://danlarremore.com/

I completed my PhD at the Department of Applied Mathematics at the University of Colorado at Boulder in 2012, studying critical dynamics in complex networks under Juan G. Restrepo. Generally, I am interested in the development of mathematical and statistical methods to understand complex processes on complex networks. This includes the dynamics of human populations, environment, economics, education, health, and disease. My personal belief is that the next 50 years will see enormous advances generated at the interface of mathematics, genetics, neuroscience and medicine.

I currently work with Caroline Buckee and Aaron Clauset on the development of robust and principled methods to understand genetic recombination among a subset of genes of Plasmodium falciparum, the parasite that causes a majority of malaria deaths each year. Our hope is to leverage advances in the growing field of network science to better understand both antigenic and pathological characteristics of P. falciparum, and to pave the way for other researchers to use such tools to understand other parasites.

Efficiently inferring community structure in bipartite networks

Larremore DB, Clauset A, Jacobs AZ.

Bipartite networks are a common type of network data in which there are two types of vertices, and only vertices of different types can be connected. While bipartite networks exhibit community structure like their unipartite counterparts, existing ap... (more »).

Phys. Rev. E   2014 Jul. 90 (1): 012805.  

Inhibition Causes Ceaseless Dynamics in Networks of Excitable Nodes

Larremore DB, Shew WL, Ott E, Sorrentino F, Restrepo JG.

The collective dynamics of a network of excitable nodes changes dramatically when inhibitory nodes are introduced. We consider inhibitory nodes which may be activated just like excitatory nodes but, upon activating, decrease the probability of activa... (more »).

Physical Review Letters   2014 Apr. 112 (13): 138103  

A Network Approach to Analyzing Highly Recombinant Malaria Parasite Genes.

Larremore DB, Clauset A, Buckee CO.

The var genes of the human malaria parasite Plasmodium falciparum present a challenge to population geneticists due to their extreme diversity, which is generated by high rates of recombination. These genes encode a primary antigen protein called PfE... (more »).

PLoS Comput Biol.   2013 Oct. 9 (10): e1003268.  

Research areas: Malaria

Progress Is Infectious

Geer DE, Larremore DB

Models in network science, public health, and immunology can and should inspire developments in cybersecurity but could also inspire nefarious players. It would be wise to explore this in future research sooner rather than later.... (more »).

IEEE Security & Privacy   2012 Nov. 10 (6): 94-95  

Social climber attachment in forming networks produces phase transition in a measure of connectivity

Larremore DB, Taylor D

The formation and fragmentation of networks are typically studied using percolation theory, but most previous research has been restricted to studying a phase transition in cluster size, examining the emergence of a giant component. This approach doe... (more »).

Physical Review E   2012 Aug. 86 (3):

Statistical properties of avalanches in networks

Larremore DB, Carpenter M Y, Ott E, Restrepo JG

Physical Review E   2012 May. 85 (6): 10.1103/PhysRevE.85.066131