These people are currently heading RECON.
Vice president, Training and Capacity Building coordinator. Field epidemiologist/microbiologist, outbreak response expert. President of the EPIET alumni network. Imperial College London, UK.
Methodology coordinator. Statistician specialized in disease modelling and outbreak response. Imperial College London, UK.
Deputy Treasurer. Infectious disease modeller of outbreaks, epidemics, and endemic infections. LSHTM, UK.
Founder, President, Treasurer. Statistician and R programmer specialized in outbreak analysis. Imperial College London, UK.
Secretary, Software Development coordinator. R developer and population geneticist; core developer and trainer for RECON. London School of Hygiene and Tropical Medicine / Imperial College London, UK.
Deputy Secretary, Field Deployment coordinator. Infectious disease epidemiologist using R for analysis. Austrian Agency for Health and Food Safety, Austria.
Deputy Secretary. Lecturer in mathematical epidemiology. Universite Versailles St Quentin / Institut Pasteur / Inserm, France.
Deputy Treasurer. Project coordinator with a Public Health background. Imperial College London, UK.
Members are people actively involved in, and contributing to, RECON’s activities.
See this page if you would like more information on membership.
Web and R developer, designer of the RECON website. AttaliTech, Canada.
Mathematical modeller and health economist specialised in Public Health intervention. Strong believer in open code and sharing. Public Health England, UK.
Modeller and software developer contributing packages for outbreak analysis using digital surveillance data. Imperial College London, UK.
Epidemiologist focused on using modeling and forecasting outputs to inform public health decision making. U.S. Centers for Disease Control and Prevention, USA.
PhD candidate interested in influenza transmission dynamics and R programming. Center for Earth System Science, Tsinghua University, China.
PhD student, interested in outbreak analysis and R package development. Imperial College London, UK.
Vector borne disease modelling to inform public health policy, emphasis in Latin America. Imperial College London, UK.
R developper specialized in data analysis infrastructures. Imperial College London, UK.
Viral evolution, dynamics and epidemiology. University of Cambridge, UK.
Statistical modelling in infectious disease epidemiology. Stockholm University, Sweden.
Preparedness for, surveillance of and response to disease outbreaks and other public health emergencies. World Health Organization, Congo, Republic.
Epidemic modeling, network science, HIV/STI epidemiology. Emory University, USA.
Epidemiologist with interest in outbreak risk analysis, surveillance and response to emerging infectious diseases. African Risk Capacity, South Africa.
Olivier Le Polain
Senior Epidemiologist, UK-Public Health Rapid Support Team, UK.
Health service executive; Host of Global Health and R Programming 101 YouTube series
Spatial statistics and disease surveillance. Lancaster University, UK.
R developer and contributor to epicontacts package. University of Virginia, USA.
Modelling for outbreak response and zoonotic diseases. Imperial College London, UK.
Bioinformatician, avid R/Shiny programmer. Independent contractor (working for Genentech/Roche), Poland.
Epidemiologist focusing on humanitarian and outbreak settings. I use R for automating analyses and reproducible reporting. World Health Organisation, Switzerland.
Infectious disease modeler focusing on outbreaks and zoonotic diseases. Acting Program Director of the ICI3D
. Director, South African Centre for Epidemioligcal Modelling and Analysis (SACEMA), South Africa.
Data scientist and ecologist, Karthik is also heading the rOpenSci
initiative. UC Berkeley, USA.
Epidemiologist and R programmer contributing to the Epicontacts package. University of California, Davis, USA.
Veterinary epidemiologist with expertise in field outbreak response, and software development for outbreak data management and contact tracing. US Centers for Disease Control and Prevention, USA.
R developer with experience in infectious disease epidemiology, surveillance and outbreak response. Berlin, Germany.
MRes student working in infectious disease modelling, contributor to RECON packages. Imperial College London, UK.
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.
Infectious disease epidemiologist (EPIET alumni) based in Bulgaria, interested in affordable analytic tools for outbreak response. National center of infectious and parasitic diseases, Bulgaria.
International expert (WHO, IOM, UNICEF) in WASH and operations management for emergency response to health crises. Freelance consultant, France.
Statistician and Researcher at LSHTM.
We are extremely lucky to have the following people supporting and guiding our efforts:
Director of the Advanced Molecular Detection initiative, with extensive experience in epidemiology and outbreak response at CDC, Atlanta, USA.
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.
Professor of Statistical Epidemiology, Fellow of the Royal Society, Christl has extensive experience in epidemics analysis and emergency outbreak response. Imperial College London, UK.
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.
Acting Director, Health Emergency Information and Risk Assessment Department, World Health Organisation. Geneva, Switzerland.
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.