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Faculty of Mathematics

 

Professor Julia Rose Gog

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

Final-size solutions for SIRI models with vaccination
MA Gutierrez, JR Gog
(2025)
(doi: 10.1101/2025.09.12.25335631)
Waning immunity can drive repeated waves of infections
DZ Lai, JR Gog
– Mathematical biosciences and engineering : MBE
(2024)
21,
1979
(doi: 10.3934/mbe.2024088)
A novel approach to finding conserved features in low-variability gene alignments characterises RNA motifs in SARS-CoV and SARS-CoV-2.
J Skittrall, N Irigoyen, I Brierley, J Gog
– Scientific Reports
(2023)
13,
12079
(doi: 10.1038/s41598-023-39207-1)
The importance of vaccinated individuals to population-level evolution of pathogens
MA Gutierrez, J Gog
– Journal of Theoretical Biology
(2023)
567,
111493
(doi: 10.1016/j.jtbi.2023.111493)
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
(doi: 10.1016/j.epidem.2022.100659)
The importance of vaccinated individuals to population-level evolution of pathogens
MA Gutierrez, JR Gog
(2022)
(doi: 10.1101/2022.11.29.22282822)
Getting the most out of maths: How to coordinate mathematical modelling research to support a pandemic, lessons learnt from three initiatives that were part of the COVID-19 response in the UK.
CE Dangerfield, I David Abrahams, C Budd, M Butchers, ME Cates, AR Champneys, CSM Currie, J Enright, JR Gog, A Goriely, T Déirdre Hollingsworth, RB Hoyle, Ini Professional Services, V Isham, J Jordan, MH Kaouri, K Kavoussanakis, J Leeks, PK Maini, C Marr, C Merritt, D Mollison, S Ray, RN Thompson, A Wakefield et al.
– Journal of Theoretical Biology
(2022)
557,
111332
(doi: 10.1016/j.jtbi.2022.111332)
Short-term Projections based on Early Omicron Variant Dynamics in England
MJ Keeling, E Brooks-Pollock, R Challen, L Danon, L Dyson, JR Gog, LG Rincón, EM Hill, L Pellis, JM Read, MJ Tildesley
(2021)
2021.12.30.21268307
(doi: 10.1101/2021.12.30.21268307)
Vaccine breakthrough and the invasion dynamics of SARS-CoV-2 variants
CM Saad-Roy, SA Levin, JR Gog, J Farrar, CE Wagner, CJE Metcalf, BT Grenfell
(2021)
2021.12.13.21267725
(doi: 10.1101/2021.12.13.21267725)
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
(doi: 10.1177/09622802211037079)
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Research Group

Disease Dynamics

Email

jrg20@cam.ac.uk

Room

G0.10

Telephone

01223 760429

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