Epidemiology and Mathematical Modelling provide vital mathematical and statistical tools to study the spatial spread of epidemics in populations.
Mathematics and simulation are essential tools in infectious disease control, enabling decision-makers to explore control policies before implementing them, interpret trends, and predict emerging threats. Over recent years technological advances and worldwide efforts are speeding up developments towards better global surveillance for combating pandemics of emergent and re-emergent infectious diseases. Here at Cambridge our researchers, extending from medicine and molecular biology to computer science and applied mathematics, are teaming up to develop new models and applied tools for rapid assessment of potentially urgent situations.
Explore Campus
Research groups are found across several university departments and local research institutes, and include:
- Disease Dynamics Research Group (Dept Applied Mathematics and Theoretical Physics)
- Disease Dynamics Unit (Dept Veterinary Medicine)
- Antigenic Cartography Group (Dept Zoology)
- Epidemiology and Modelling Group (Dept Plant Sciences)
- Epidemiology and Immunology of Human Schistosomiasis Group (Dept Pathology).
- Institute of Public Health, which includes the internationally renowned MRC Biostatistics Unit.
PhD Student, at the Department of Veterinary Medicine
Epidemiological and Mathematical Modelling, Disease Dynamics Unit
Emergency medicine doctor
Department of Sociology, University of Cambridge
Graduate Student Researcher at MRC Biostatistics Unit
I am a medical doctor and a graduate student in Population Health sciences, specializing in Infectious Diseases.
Department of Medicine, CITIID.
Molecular microbiologist; enteric infections in developing countries with an emphasis on Norovirus, Shigella spp. and Salmonella Typhi.
Senior Research Associate, Bye Fellow at Murray Edwards College
Intersection of economy, society and policy; previously health focus on the ‘Humanitarian Crises, Population Displacement and Epidemic Diseases, 1901-2010’ project.
Postdoctoral Fellow, Parasites and Microbes Programme, Wellcome Sanger Institute
Molecular Microbiology, Bioinformatics, Phylogenetics, Phylodynamics, Molecular/Genomic Epidemiology, Genomic Surveillance. Sexually Transmitted Infections, Neglected Tropical Diseases, Global Health.
Senior Statistician in the Statistics, Modelling, and Economics Department in the National Infection Service of Public Health England.
Development of real-time systems for the tracking of pandemic influenza outbreaks.
Visiting worker at Prog De Angelis' group.
PhD Student at MRC Biostatistics Unit – Theme: Statistical methods Using data Resources to improve Population Health (SURPH)
Assistant Professor at Department of Engineering, University of Cambridge
I work on computational methods for inference problems, including models of things (i.e. disease) spreading across networks.
Wellcome Sanger Institute
Molecular epidemiology and evolution of bacterial pathogens particularly Streptococcus pneumoniae
Department of Land Economy.
Economics of Infectious Disease including strategic epidemiology, social experiments, atefactual experiments, and mass drug administration for disease control.
Department of Engineering
Engineering design: including process management, change management, healthcare design and inclusive design.
Department of Plant Sciences
Mathematical modelling of the spread, detection, evolution and control of crop and tree diseases.
Programme leader
Statistical methods in epidemic modelling
Senior Research Associate (Mathematical & Computational Biology), Department of Chemistry
AI Researcher & Mathematical Modeller
+44 1223 339381
MRC Fellow in Biomedical Informatics
Junior Research Fellow at Homerton College
CJ Martin Biomedical Research Fellow, Wellcome Trust Sanger Institute
Sam's work combines microbiology, immunology and computational analysis to interactions between the microbiota and pathogen
Department of Plant Sciences
Epidemiological modelling to predict the spread of plant disease epidemics and to identify and optimise economically and ecologically sustainable strategies for disease management.
A consultant in infectious diseases with an interest in primary and secondary immunodeficiencies and transplantation.
Department of Veterinary Medicine
Graduate Student
Disease dynamics and ecological drivers, particularly of bat-borne viruses and other emerging pathogens.
Department of Applied Mathematics and Theoretical Physics (DAMTP)
Mathematics of infectious diseases,viral bioinformatics,influenza modelling
Department of Veterinary Medicine
Host-pathogen interactions and the molecular basis of virulence.
Gates Cambridge PhD student in the Disease Dynamics group of DAMTP, interested in mathematical evolutionary epidemiology of infectious diseases.
Department of Applied Mathematics and Theoretical Physics (DAMTP)
PhD Student, Department of Veterinary Medicine
Infectious disease modelling and policy
Everitt Butterfield Fellow in Emerging Infectious Diseases
Department of Veterinary Medicine
Centre for the Study of Existential Risk
Interested in infectious diseases; epidemiology; global health; outbreak response; surveillance
Professor in Microbial Genomics & Veterinary Science
Director of Studies in Clinical Veterinary Medicine (Churchill College)
+44 1223 337636
Postdoctoral Researcher at Department of Genetics
Salje's group
Postdoctoral Research Associate at Centre for the Study of Existential Risk
Research Fellow (JRF) in Emerging Infectious Diseases, Department of Veterinary Medicine
Outbreak surveillance and response systems, particularly those in Sub-Saharan Africa.
PhD Student
Using mathematical models to evaluate and inform immunisation strategies with MenAfriVac in the African meningitis belt
AXA Research Fund Fellow
Public policy evaluation; Health economics
PhD Student at European Bioinformatics Institute EBI-EMBL
Lees Group (Pathogen Informatics and Modelling)
Genomic epidemiology, mathematical models for pathogen transmission and evolution.
Group Leader at Quadram Institute
Epidemiology, evolution and dynamics of foodborne and zoonotic bacteria, with a particular focus on antimicrobial resistance (AMR)
Senior Staff Scientist, at Pathogens and Microbes, Wellcome Trust Sanger Institute
Affiliated researcher, McDonald Institute, Department of Archaeology
Hospital Consultant (specialist) in NHS
Research associate and administrator in the Pathogen Evolution group, Department of Zoology
Influenza, vaccines
Professor of comparative oncology and genetics
PhD Student, Smith group, Department of Zoology
I use computational methods to study vaccines against evolving viruses (SARS-CoV-2, Influenza)
Research Associate at MRC Biostatistics Unit, University of Cambridge
PhD Student, Epidemiological and Mathematical Modelling
Department of Veterinary Medicine
My interests are sustainability of HIV services in Africa, fungal infections in Uganda and HIV/STI management
Research Associate at De Angelis group, MRC Biostatistics Unit, University of Cambridge
MD, consultant in Public Health
Pathogen Dynamics Group, Department of Genetics, University of Cambridge
Investigator Statistician
in the "Statistical methods in epidemic modelling" programme
MRC Biostatistics Unit
Department of Veterinary Medicine
Postdoctoral Research Associate assisting Professor Mark Holmes
Clinical Lecturer in Virology, Department of Pathology
Mathematical analyses of viral genomic data to predict function and drug targets
Department of Zoology
Evolution and population dynamics of antigenically variable pathogens, particularly influenza viruses but also malaria, HIV, and HCV.
Senior Research Associate at Centre for the Study of Existential Risk
Professor of Global Health, Department of Veterinary Medicine
Director of Cambridge-Africa, Department of Pathology
Honorary Epidemiologist at UKHSA
Fellow at Hughes Hall
Research Associate, Department of Zoology
Mathematical modelling of biological systems, dynamical systems
Research associate, Department of Genetics
Research Associate studying the impact of antigenic and genetic diversity of dengue virus (DENV) on driving DENV's transmission and disease risks.
Wellcome Trust and Royal Society Henry Dale Fellow
Principal Investigator
01223 766247
Department of Veterinary Medicine
Veterinarian, epidemiology with interests in the infection dynamics and control of zoonotic diseases in Africa and globally.
Digital Epidemiology: Modelling of Epidemic Spread using Human Mobility Data from Sensors and Mobile-Phones
01223763743