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.
Founder of RECON. Statistician and R programmer specialized in outbreak analysis. Imperial College London, UK.
Web and R developer, designer of the RECON website. Canada.
Mathematical modeller and health economist specialised in Public Health intervention. Strong believer in open code and sharing. Public Health England, UK.
Field epidemiologist, outbreak response expert, and RECON trainer / analyst. Imperial College London, UK.
Caretaker for the aberration detection algorithm PHIDO, shiny developer. British Columbia Centre for Disease Control, Canada.
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.
Statistician specialized in disease modelling and outbreak response. Imperial College London, UK.
PhD student proficient in R, joining MSF in 2017 so will put packages to use in the field. Imperial College London, UK.
PhD student in biostatistics and R programmer. Karolinska Institutet, Department of Medical Epidemiology and Biostatistics, Sweden.
R and Shiny for risk assessment and epidemic parameter estimation for emerging infections. Public Health Agency of Canada, McGill University, Canada.
Genomic epidemiology of bacterial pathogens. Imperial College London, UK.
HIV surveillance, estimation, mathematical modelling, and policy in sub-Saharan Africa. Imperial College London, UK.
Modeller and Data-Scientist specializing in applying High Performance Computing to public health problems. Public Health England, UK.
Veterinary and public health epidemiologist. The University of Melbourne, Australia.
R developper specialized in data analysis infrastructures. Imperial College London, UK.
Viral evolution, dynamics and epidemiology. University of Cambridge, UK.
Outbreak analysis and infectious disease modelling. Imperial College London, UK.
Bioinformatician with a strong research interest in epidemiology. KEMRI-Wellcome Trust Research Programme, Kenya.
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.
Medical epidemiologist, support countries strengthening their public health surveillance systems; Rthusiastic for many years. World Health Organization, France.
Statistical modelling in infectious disease epidemiology. Stockholm University, Sweden.
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.
Modeller working on outbreak analysis. Imperial College London, UK.
Preparedness for, surveillance of and response to disease outbreaks and other public health emergencies. World Health Organization, Congo, Republic.
Developer of the R package spatialpred. Johns Hopkins Bloomberg School of Public Health, USA.
R developer and population geneticist. Oregon State University, USA.
Epidemiologist and coordinator of the UK field epidemiology training programme (FETP), EPIET alumnus with a background in biostatistics. Public Health England, UK.
Infectious disease epidemiologist using R for analysis. Austrian Agency for Health and Food Safety, Austria.
Survival analysis of infectious disease transmission data. University of Florida, USA.
Infectious disease epidemiologist, mathematical modeller, and R developer. RIVM (National Institute for Public Health and the Environment), The Netherlands.
R developper with background in bioinformatics and network analysis. Working on transmission analysis for disease surveillance. Robert Koch Institute, Germany.
Genomics PhD student. Wellcome Trust Sanger Institute, UK.
Epidemiology and infectious disease dynamics. Johns Hopkins Bloomberg School of Public Health, USA.
Mathematical and statistical modelling of sexually-transmitted bacterial infections. Imperial College London, UK.
Data developer. World Health Organization, Congo, Republic.
Water research using molecular biology, microbiology, bioinformatics and data science. Public Health Ontario, Canada.
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.
Surveillance of healthcare-associated inflections, R programmer. Health Protection Surveillance Centre, Dublin, Ireland.
Method development and implementation of phylodynamic methods for infectious diseases. Stanford University, USA.
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.
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.
Mathematical and statistical modelling in infectious disease epidemiology, R programming. Austrian Agency for Food and Health Safety, Austria.
Disease ecologist, working on zoonotic disease emergence, dynamical systems, economics and R programming standards. EcoHealth Alliance, USA.
Spatial statistician and data scientist (R, Python) on tropical diseases and health surveillance. Lancaster University, UK.
Senior epidemiology scientist involved in outbreak investigation, surveillance and research. Public Health England, UK.
Mathematical modeller and R programmer. Thailand.
R developer with experience in infectious disease epidemiology, surveillance and outbreak response. Berlin, Germany.
Epidemiologist specialized in statistics and data analysis, with strong focus on malaria. Imperial College London, UK.
R developer currently working on insecticide resistance in malaria vectors. Norwich, 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.
Medical epidemiologist working on international epidemics, with a background in tools development for response. WHO/Global Outbreak Alert and Response Network, Switzerland.
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.
Epidemiological modeller and computer programmer, interested in diseases of humans, animals and plants. University of Oxford, UK.
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.
Population genetics, phylogenetics, and mathematical epidemiology. Imperial College London, UK.
Epidemiologist studying ecological, biological, and behavioral drivers of zoonotic disease emergence. EcoHealth Alliance, USA.
Modeller and R programmer specialised in malaria population genetics. Imperial College London, UK.
Survey analysis with emphasis on working with small area estimates. USA.
outbreak reconstruction, spatial epidemiology, social determinants of infection risk. University of Michigan School of Public Health, USA.
Infectious disease models, respiratory diseases, vaccine impact, and data visualization in Public Health. Guangdong provincial institute of Public Health, China.
We are extremely lucky to have the following people supporting and guiding our efforts:
RECON also benefits from some outstanding administrative support from the following people: