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Carles Breto

University of Michigan

Time series analysis with applications to epidemiology. Inference for partially observed stochastic dynamic systems. Particle filters. Continuous-time stochastic processes.


Much of my current research is based on understanding the large-scale epidemiology of infectious diseases. One part of my research focuses on identifying the major determinants of polio virus transmission. Also I am interested in understanding the dynamics of infectious diseases such as measles and its ecological interaction with other infectious diseases.

Navideh Noori

University of Georgia

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Laura matrajt

Fred Hutch

My primary research interests include the use of mathematical tools to quantify and to analyze infectious disease dynamics, and to optimize interventions for Public Health. My primary focus is on the development of mathematical models, both stochastic and deterministic, applied to infectious diseases and to pair them with optimization routines to find the best use of resources (vaccines, antivirals, etc). More recently, I have become interested in within-host modeling and the effect that the infection process at the individual-level has on the population-level dynamics.


Evelyn Panagakou

Northeastern University

Stochastic modeling of the disease dynamics using a meta-population approach.
In particular, our group is currently working on modeling epidemic and pandemic events using a meta-population model that employs a fully stochastic compartmental approach for each subpopulation and where the equations of different subpopulations are coupled through effective interactions and mechanistic schemes accounting for the mobility of individuals encoded in the multiscale mobility network. At the moment, with the rest of the team, I am developing a generalization of the basic formalism to take into account the fact that people have different contact rates given their age and the places where they spend most of their time during the day. In country level, contact matrices, mapping the way people contact each other in households and workspaces, are used to model efficiently how different viruses can be transmitted between people given their contacts.

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Northeastern University

My research focuses on the characterization and modeling of the spread of infectious diseases, by integrating methods of complex systems with statistical physics approaches.


I study the within-host dynamics of influenza infection. My research focuses on describing the relationship between the viral load dynamics and the symptoms of disease. I also consider the changes in viral genetics over the course of infection and how these changes affect the infection dynamics.


Duke University


My research focuses on using statistical methods to obtain insights on transmission dynamics and epidemiology of infection disease, and their implications on disease control and preventions.

Tim K. Tsang

University of Florida

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Northeastern University

Computational epidemiology (esp. seasonal influenza forecasts), data mining, network science


Graduate students


allison black

University of Washington


My research focuses on using pathogen sequence data to understand patterns in disease transmission. Specifically, I'm interested in developing techniques for inferring transmission chains from phylogenetic trees and differentiating disease dynamics in reservoirs from transmission events after spill-over.



University of Washington

Stochastic epidemic modelling for inferring the dynamics of infectious diseases.

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chris henry

University of Michigan

My research so far has focused on developing an understanding of how different assumptions about the dynamics of immune waning following vaccination or natural infection can affect inferences about polio transmission dynamics, with a particular focus on the likelihood of sustained silent transmission.


Yanan Huo

University of Florida

I am currently working on optimizing the transmission probability of seasonal influenza and adjustment study on various infectious scenarios.


Paige Miller

University of Georgia

My research focuses on development of new methods and theory for early warning systems of infectious disease emergence. I am interested in increasing our ability to forecast seasonal disease dynamics using time series data by separating inherent periodicity from bifurcation-induced noise.


I am broadly interested in trying to predict the evolutionary trajectory of seasonal influenza. My research is focused on using high-throughput methods to measure the mutational tolerance of a surface protein of the influenza virus. Ultimately, I hope to improve predictive fitness models for different viral strains using our knowledge about the mutational tolerance of influenza.

Juhye Lee

University of Washington




Diana P.  Rojas

University of Florida


Arbovirus epidemiology and transmission dynamics specially dengue and Zika virus.  Currently I am working on study designs to establish baseline data of dengue transmission, estimation of force of infection and R0 using seroprevalence data in the Yucatan, Mexico, and analyzing epidemiological data from the Zika outbreak in Colombia to estimate transmission parameters and the risk of Zika congenital syndrome of this outbreak.


Natasha Wenzel

University of Washington

I am interested in integrating epidemiology and infectious disease ecology in order to directly inform public health questions that could not be made by any one of these disciplines alone. My current interests include optimizing vaccine distribution for influenza and understanding vaccine failure for pertussis (TdaP) and varicella (Varivax).


Shane Wilson

University of Washington

Statistical inference for stochastic epidemic models on networks


Xinyu Zhang

University of Michigan

I am working on exploring the potential value of sequences of poliovirus in informing how transmissions involving people with waning immunity towards infection of poliovirus contribute to silent circulation of poliovirus. This work can be valuable in finding out ways of using viral sequences, or combining sequences and other data sources to characterize the silent circulation of poliovirus which is an important factor to consider when eradication of polio is desired in near future.