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Trainees

postdocs

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Carles Breto

University of Michigan
cbreto@umich.edu

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

 
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chris henry

University of Michigan
chrishen@umich.edu

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.

 

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
nnoori@uga.edu

 
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Laura matrajt

Fred Hutch
laurama@fredhutch.org

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.

 

Louise Hillier Moncla

Fred Hutch
lhmoncla@gmail.com

I am interested in using a combination of deep sequencing, population genetics and phylogeography to characterize within and between-host RNA virus evolution.

 

Evelyn Panagakou

Northeastern University
evepanag@gmail.com

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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ANA PASTORE Y PIONTTI

Northeastern University
anapastore@gmail.com

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

 
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Diana P.  Rojas

University of Florida
dprojas@ufl.edu

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.

 

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
ktsang@mail.ufl.edu

 
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QIAN ZHANG

Northeastern University
qi.zhang@neu.edu
zhangqianrach.org

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

 

Graduate students

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allison black

University of Washington
black.alli@gmail.com

 

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.

 
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Tracy Qi Dong

University of Washington
qd8@uw.edu

My research focuses on spatio-temporal modeling of surveillance data.

 
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JONATHON FINTZI

University of Washington
fintzij@uw.edu

Stochastic epidemic modelling for inferring the dynamics of infectious diseases.

 

Yanan Huo

University of Florida
yananhuo@ufl.edu

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

 
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Paige Miller

University of Georgia
paige.miller@drakeresearchlab.com

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.

 
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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
juhyelee@uw.edu

 

 

 

Celeste Vallejo

University of Florida
cvallejo@ufl.edu

My research focus is on modeling the silent circulation of poliovirus using stochastic processes.

 
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Natasha Wenzel

University of Washington
nwenzel@uw.edu
website

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).

 
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Xinyu Zhang

University of Michigan
xinyuz@umich.edu

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.


SUMMER INTERNS

FRED HUTCH


 

UNIVERSITY OF GEORGIA