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Faculty of Mathematics

 

Professor of Mathematical Biology, DAMTP, University of Cambridge
David N. Moore Fellow in Mathematics, Queens' College

Current roles:

Honours and awards:

Career:

  • 2017-present  Professor of Mathematical Biology 
  • 2013-2017 Reader in Mathematical Biology
  • 2010-2012  Visiting Fellow, Ecology and Evolutionary Biology, Princeton University
  • 2006-2013 University Lecturer, DAMTP, University of Cambridge
  • 2006-2012 Royal Society University Research Fellowship, DAMTP, University of Cambridge
  • 2004-present Official Fellow, Queens' College
  • 2004-2006 Royal Society University Research Fellowship, Department of Zoology, University of Cambridge
  • 2002-2004 Research Fellowship, Queens' College

Research:

Julia Gog's research is in the mathematics of infectious diseases. Recent projects include:

  • Models of influenza strain dynamics
  • Spatial spread of influenza
  • Within-host dynamics of influenza
  • In vitro dynamics of Salmonella
  • Bioinformatic methods to detect RNA signals in viruses

University news items on our work

For list of publications, please try Julia's profile on Google Scholar.

Photo credit: Marisa Sutherland-Brown

Publications

The importance of vaccinated individuals to population-level evolution of pathogens.
MA Gutierrez, J Gog
– J Theor Biol
(2023)
567,
111493
Coughs, colds and “freshers’ flu” survey in the University of Cambridge, 2007–2008
KTD Eames, ML Tang, EM Hill, MJ Tildesley, JM Read, MJ Keeling, JR Gog
– Epidemics
(2022)
42,
100659
The importance of vaccinated individuals to population-level evolution of pathogens
MA Gutierrez, JR Gog
(2022)
Short-term Projections based on Early Omicron Variant Dynamics in England
M Keeling, E Brooks-Pollock, R Challen, L Danon, L Dyson, J Gog, L Guzmán Rincón, E Hill, L Pellis, J Read, M Tildesley
(2021)
2021.12.30.21268307
Vaccine breakthrough and the invasion dynamics of SARS-CoV-2 variants
C Saad-Roy, S Levin, J Gog, J Farrar, C Wagner, J Metcalf, B Grenfell
(2021)
2021.12.13.21267725
Commentary on the use of the reproduction number R during the COVID-19 pandemic.
C Vegvari, S Abbott, F Ball, E Brooks-Pollock, R Challen, BS Collyer, C Dangerfield, JR Gog, KM Gostic, JM Heffernan, TD Hollingsworth, V Isham, E Kenah, D Mollison, J Panovska-Griffiths, L Pellis, MG Roberts, G Scalia Tomba, RN Thompson, P Trapman
– Statistical methods in medical research
(2021)
31,
1675
SARS-CoV-2 infection in UK university students: lessons from September-December 2020 and modelling insights for future student return.
J Enright, EM Hill, HB Stage, KJ Bolton, EJ Nixon, EL Fairbanks, ML Tang, E Brooks-Pollock, L Dyson, CJ Budd, RB Hoyle, L Schewe, JR Gog, MJ Tildesley
– Royal Society Open Science
(2021)
8,
210310
Vaccine escape in a heterogeneous population: insights for SARS-CoV-2 from a simple model
JR Gog, EM Hill, L Danon, RN Thompson
– R Soc Open Sci
(2021)
8,
210530
Early epidemiological signatures of novel SARS-CoV-2 variants: establishment of B.1.617.2 in England
R Challen, L Dyson, C Overton, L Guzman-Rincon, E Hill, H Stage, E Brooks-Pollock, L Pellis, F Scarabel, D Pascall, P Blomquist, M Tildesley, D Williamson, S Siegert, X Xiong, B Youngman, J Read, J Gog, M Keeling, M Keeling, L Danon, Juniper
(2021)
2021.06.05.21258365
Epidemic interventions: Insights from classic results
JR Gog, TD Hollingsworth
– Philosophical transactions of the Royal Society of London. Series B, Biological sciences
(2021)
376,
20200263
  • 1 of 8
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Research Group

Disease Dynamics

Room

G0.10

Telephone

01223 760429