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Faculty of Mathematics

 

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

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

Honours and awards

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

Key questions for modelling COVID-19 exit strategies.
RN Thompson, TD Hollingsworth, V Isham, D Arribas-Bel, B Ashby, T Britton, P Challenor, LHK Chappell, H Clapham, NJ Cunniffe, AP Dawid, CA Donnelly, RM Eggo, S Funk, N Gilbert, P Glendinning, JR Gog, WS Hart, H Heesterbeek, T House, M Keeling, IZ Kiss, ME Kretzschmar, AL Lloyd, ES McBryde et al.
– Proceedings of the Royal Society B
(2020)
287,
20201405
Effectiveness of isolation, testing, contact tracing, and physical distancing on reducing transmission of SARS-CoV-2 in different settings: a mathematical modelling study.
AJ Kucharski, P Klepac, AJK Conlan, SM Kissler, ML Tang, H Fry, JR Gog, WJ Edmunds, CMMID COVID-19 working group
– The Lancet. Infectious diseases
(2020)
20,
1151
How you can help with COVID-19 modelling
JR Gog
– Nature Reviews Physics
(2020)
2,
274
Symbolic transfer entropy reveals the age structure of pandemic influenza transmission from high-volume influenza-like illness data
SM Kissler, C Viboud, BT Grenfell, JR Gog
– J R Soc Interface
(2020)
17,
20190628
Pease (1987): The evolutionary epidemiology of influenza A
V Andreasen, JR Gog
– Theoretical population biology
(2020)
133,
29
A scale-free analysis of the HIV-1 genome demonstrates multiple conserved regions of structural and functional importance
JP Skittrall, CK Ingemarsdotter, JR Gog, AML Lever
– PLoS computational biology
(2019)
15,
e1007345
Sparking “The BBC Four Pandemic”: Leveraging citizen science and mobile phones to model the spread of disease
S Kissler, P Klepac, M Tang, AJK Conlan, J Gog
(2018)
Urbanization and humidity shape the intensity of influenza epidemics in U.S. cities
BD Dalziel, S Kissler, JR Gog, C Viboud, ON Bjørnstad, CJE Metcalf, BT Grenfell
– Science (New York, N.Y.)
(2018)
362,
75
Contagion! The BBC Four Pandemic - The model behind the documentary
P Klepac, S Kissler, J Gog
– Epidemics
(2018)
24,
49
A new method for detecting signal regions in ordered sequences of real numbers, and application to viral genomic data.
JR Gog, AML Lever, JP Skittrall
– PloS one
(2018)
13,
e0195763
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Research Group

Disease Dynamics

Room

G0.10

Telephone

01223 760429