Imperial College London

DrThibautJombart

Faculty of MedicineSchool of Public Health

Senior Lecturer
 
 
 
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Contact

 

+44 (0)20 7594 3658t.jombart Website

 
 
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Location

 

UG11Norfolk PlaceSt Mary's Campus

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Summary

 

Summary

I am a biometrician working on statistical genetics of pathogen populations. I am currently working as a research associate with Neil Ferguson, Christophe Fraser and Simon Cauchemez. My work aims to develop novel statistical approaches for extracting information from pathogen genomes and gain insights into the spatio-temporal dynamics of infectious diseases. The methodological approaches I use include multivariate analysis, Bayesian statisticsspatial statisticsgraph theory, and phylogenetics. I am also interested in using simulations to understand which and how biological processes shape the genetic diversity observed in biological populations.

 

I am also extensively involved with the development of free software for the analysis of genetic and epidemiological data. I have recently organized a R hackathon on disease outbreak modelling using molecular data, hosted by the MRC Center for Outbreak Analysis and Modelling in January 2013

I am author or contributor for the following R packages:

- adegenet (author): multivariate analysis for genetic/genomic data

- adephylo (author): tools for testing and describing the  phylogenetic signal

- geoGraph (author): large-scale modelling of spatial data

- ade4 (contributor): multivariate analysis, graphics, spatial statistics

phylobase (contributor): handling and analyses of phylogenetic comparative data

- sedaR (contributor): spatial statistics for ecological data

- outbreaker (author): Bayesian reconstruction of disease outbreaks using genomic data

- epibase (author): basic tools for the disease outbreak analysis

 

 

More information is available from my  webpage.

Publications

Journals

Cori A, Nouvellet P, Garske T, et al., 2018, A graph-based evidence synthesis approach to detecting outbreak clusters: An application to dog rabies., Plos Comput Biol, Vol:14

Campbell F, Didelot X, Fitzjohn R, et al., 2018, outbreaker2: a modular platform for outbreak reconstruction, Bmc Bioinformatics, Vol:19, ISSN:1471-2105

Moraga P, Dorigatti I, Kamvar Z, et al., 2018, epiflows : an R package for risk assessment of travel- related spread of disease [version 1; referees: 2 approved with reservations], F1000research, Vol:7, ISSN:2046-1402

Software

Jombart T, Kamvar ZN, Cai J, et al., 2019, reconhub/incidence 1.5, v.1.5

Jombart T, Kamvar Z, Cai J, et al., 2018, reconhub/incidence: Incidence version 1.5.3, v.1.5.3

More Publications