RECON is a group of people sharing their time and expertise to lead, facilitate, advise, and promote the development of analysis tools for outbreak response using the R software. The list of people below is growing as we are recruiting more members. See this page to join us.

Thibaut Jombart

Founder of RECON. Statistician and R programmer specialized in outbreak analysis. Imperial College London, UK.

Dean Attali

Web and R developer, designer of the RECON website. AttaliTech, Canada.

Marc Baguelin

Mathematical modeller and health economist specialised in Public Health intervention. Strong believer in open code and sharing. Public Health England, UK.

Amrish Baidjoe

Field epidemiologist, outbreak response expert, and RECON trainer / analyst. President of the EPIET alumni network. Imperial College London, UK.

Robert Balshaw

Caretaker for the aberration detection algorithm PHIDO, shiny developer. British Columbia Centre for Disease Control, Canada.

Jun Cai

PhD candidate interested in influenza transmission dynamics and R programming. Center for Earth System Science, Tsinghua University, China.

Finlay Campbell

PhD student, interested in outbreak analysis and R package development. Imperial College London, UK.

David Champredon

Epidemic modelling. McMaster University, Canada.

Anne Cori

Statistician specialized in disease modelling and outbreak response. Imperial College London, UK.

Thomas Crellen

PhD student proficient in R, joining MSF in 2017 so will put packages to use in the field. Imperial College London, UK.

Irina Czogiel

Statistician, bioinformatician and EPIET project supervisor, with expertise in machine learning methods for to epidemiological and molecular data. Robert Koch Institut, Germany.

Elisabeth Dahlqwist

PhD student in biostatistics and R programmer. Karolinska Institutet, Department of Medical Epidemiology and Biostatistics, Sweden.

Alex Demarsh

R and Shiny for risk assessment and epidemic parameter estimation for emerging infections. Public Health Agency of Canada, McGill University, Canada.

Xavier Didelot

Genomic epidemiology of bacterial pathogens. Imperial College London, UK.

Jeff Eaton

HIV surveillance, estimation, mathematical modelling, and policy in sub-Saharan Africa. Imperial College London, UK.

Thomas Finnie

Modeller and Data-Scientist specializing in applying High Performance Computing to public health problems. Public Health England, UK.

Simon Firestone

Veterinary and public health epidemiologist. The University of Melbourne, Australia.

Rich Fitzjohn

R developper specialized in data analysis infrastructures. Imperial College London, UK.

Simon Frost

Viral evolution, dynamics and epidemiology. University of Cambridge, UK.

Tini Garske

Outbreak analysis and infectious disease modelling. Imperial College London, UK.

George Githinji

Bioinformatician with a strong research interest in epidemiology. KEMRI-Wellcome Trust Research Programme, Kenya.

Stephan Gloeckner

Epidemiologist / computer scientist working on outbreak detection algorithms using R and python. Helmholtz Centre for Infection Research, Germany.

Joana Gomes Dias

Expert Biostatistics at ECDC. Applied statistical modelling. Epidemiology and Infection diseases. European Centre for Disease Prevention and Control (ECDC), Sweden.

José Guerra

Medical epidemiologist, support countries strengthening their public health surveillance systems; Rthusiastic for many years. World Health Organization, France.

Michael Höhle

Statistical modelling in infectious disease epidemiology. Stockholm University, Sweden.

Andreas Handel

Modeling and data analysis of infectious diseases on the within-host and between-host scales. Main focus on influenza, TB and Norovirus. University of Georgia, USA.

Martin Hinsch

Modeller working on outbreak analysis. Imperial College London, UK.

Benido Impouma

Preparedness for, surveillance of and response to disease outbreaks and other public health emergencies. World Health Organization, Congo, Republic.

Joshua Kaminsky

Developer of the R package spatialpred. Johns Hopkins Bloomberg School of Public Health, USA.

Zhian Kamvar

R developer and population geneticist. Oregon State University, USA.

Andee Kaplan

shiny, D3, JavaScript. Iowa State University, USA.

Ioannis Karagiannis

Epidemiologist and coordinator of the UK field epidemiology training programme (FETP), EPIET alumnus with a background in biostatistics. Public Health England, UK.

Patrick Keating

Infectious disease epidemiologist using R for analysis. Austrian Agency for Health and Food Safety, Austria.

Eben Kenah

Survival analysis of infectious disease transmission data. University of Florida, USA.

Don Klinkenberg

Infectious disease epidemiologist, mathematical modeller, and R developer. RIVM (National Institute for Public Health and the Environment), The Netherlands.

Stefan Kroeger

R developper with background in bioinformatics and network analysis. Working on transmission analysis for disease surveillance. Robert Koch Institute, Germany.

John Lees

Genomics PhD student. Wellcome Trust Sanger Institute, UK.

Justin Lessler

Epidemiology and infectious disease dynamics. Johns Hopkins Bloomberg School of Public Health, USA.

Joanna Lewis

Mathematical and statistical modelling of sexually-transmitted bacterial infections. Imperial College London, UK.

Christian Massidi

Data developer. World Health Organization, Congo, Republic.

Kevin McDermott

Water research using molecular biology, microbiology, bioinformatics and data science. Public Health Ontario, Canada.

Lore Merdrignac

Epidemiologist, Bioinformatics engineer, R and Shiny programmer. EpiConcept, France.

Paula Moraga

Spatial statistics and disease surveillance. Lancaster University, UK.

Roger Morbey

Statistician working in public health real-time surveillance. Public Health England, UK.

VP Nagraj

R developer and contributor to epicontacts package. University of Virginia, USA.

Pierre Nouvellet

Modelling for outbreak response and zoonotic diseases. Imperial College London, UK.

Ajay Oza

Surveillance of healthcare-associated inflections, R programmer. Health Protection Surveillance Centre, Dublin, Ireland.

Julia Palacios

Method development and implementation of phylodynamic methods for infectious diseases. Stanford University, USA.

Pawel Piatkowski

Bioinformatician, avid R/Shiny programmer. Independent contractor (working for Genentech/Roche), Poland.

Jonathan Polonsky

Epidemiologist focusing on humanitarian and outbreak settings. I use R for automating analyses and reproducible reporting. World Health Organisation, Switzerland.

Karthik Ram

Data scientist and ecologist, Karthik is also heading the rOpenSci initiative. UC Berkeley, USA.

Nistara Randhawa

Epidemiologist and R programmer contributing to the Epicontacts package. University of California, Davis, USA.

Lukas Richter

Mathematical and statistical modelling in infectious disease epidemiology, R programming. Austrian Agency for Food and Health Safety, Austria.

Noam Ross

Disease ecologist, working on zoonotic disease emergence, dynamical systems, economics and R programming standards. EcoHealth Alliance, USA.

Barry Rowlingson

Spatial statistician and data scientist (R, Python) on tropical diseases and health surveillance. Lancaster University, UK.

Maria Saavedra-Campos

Senior epidemiology scientist involved in outbreak investigation, surveillance and research. Public Health England, UK.

Adom San Koffi

Field epidemiologist and outbreak response expert. World Health Organization, Côte d'Ivoire.

Sompob Saralamba

Mathematical modeller and R programmer. Thailand.

Dirk Schumacher

R developer with experience in infectious disease epidemiology, surveillance and outbreak response. Berlin, Germany.

Ellie Sherrard-Smith

Epidemiologist specialized in statistics and data analysis, with strong focus on malaria. Imperial College London, UK.

Andy South

R developer currently working on insecticide resistance in malaria vectors. Norwich, UK.

Alex Spina

Infectious disease epidemiologist using R for surveillance data and outbreak response. Austrian Agency for Food and Health Safety / European Centre for Disease Prevention and Control, Austria.

Tony Stewart

Medical epidemiologist working on international epidemics, with a background in tools development for response. World Health Organization, GOARN, Switzerland.

Bertrand Sudre

Epidemiology, outbreak response, Emerging and vector-borne dieases, data analysis, GIS and outbreak mapping, data vizualisation, long term R user. European Centre for Disease Prevention and Control, Sweden.

Robin Thompson

Epidemiological modeller and computer programmer, interested in diseases of humans, animals and plants. University of Oxford, UK.

Salla Toikkanen

Statistical and epidemiological analysis of infectious disease surveillance data. EPIET alumnus. National Institute for Health and Welfare, Finland.

Sai Thein Than Tun

Mathematical and economic modeller with some experience in R package development. Mahidol-Oxford Tropical Medicine Research Unit, Myanmar.

Rolina van Gaalen

Infectious disease epidemiologist, mathematical and statistical modeller, and R programmer. National Institute for Public Health and the Environment (RIVM), The Netherlands.

Edwin van Leeuwen

Experienced epidemiological modeller, with a strong background as R programmer. Public Health England, UK.

Erik Volz

Population genetics, phylogenetics, and mathematical epidemiology. Imperial College London, UK.

Brooke Watson

Epidemiologist studying ecological, biological, and behavioral drivers of zoonotic disease emergence. EcoHealth Alliance, USA.

Oliver Watson

Modeller and R programmer specialised in malaria population genetics. Imperial College London, UK.

Thomas Yokota

Survey analysis with emphasis on working with small area estimates. USA.

Jon Zelner

outbreak reconstruction, spatial epidemiology, social determinants of infection risk. University of Michigan School of Public Health, USA.

Bing Zhang

Infectious disease models, respiratory diseases, vaccine impact, and data visualization in Public Health. Guangdong provincial institute of Public Health, China.

Advisory board

We are extremely lucky to have the following people supporting and guiding our efforts:

Gregory Armstrong

Director of the Advanced Molecular Detection initiative, with extensive experience in epidemiology and outbreak response at CDC, Atlanta, USA.

Gabor Csardi

Computer scientist with a strong background in statistics and network theory, Gabor is a prominent member of the R community who develops and contributes to a number of major packages such as igraph, roxygen and R6. Mango Solutions, Chippenham, UK.

Christl Donnelly

Professor of Statistical Epidemiology, Fellow of the Royal Society, Christl has extensive experience in epidemics analysis and emergency outbreak response. Imperial College London, UK.

Jennifer Gardy

Canada Research Chair in Public Health genomics at the university of British Columbia and BC Centre for Disease Control, with extensive experience in inferring disease transmission from genomic data. Vancouver, Canada.

Oliver Morgan

Acting Director, Health Emergency Information and Risk Assessment Department, World Health Organisation. Geneva, Switzerland.

Jacco Wallinga

Professor of infectious disease modelling at Leiden University Medical Center, Head of the Infectious Disease Modelling Department at the National Institute for Public Health and the Environment (RIVM), The Netherlands.


RECON also benefits from some outstanding administrative support from the following people:

James Hayward

Administrative support. Imperial College London, UK.

Evgenia Markvardt

Administrative support. Imperial College London, UK.