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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

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
Contacts in context: large-scale setting-specific social mixing matrices from the BBC Pandemic project
P Klepac, A Kucharski, AJK Conlan, S Kissler, M Tang, H Fry, J Gog
(2020)
2020.02.16.20023754
Pease (1987): The evolutionary epidemiology of influenza A
V Andreasen, JR Gog
– Theor Popul Biol
(2020)
133,
29
A scale-free analysis of the HIV-1 genome demonstrates multiple conserved regions of structural and functional importance.
J Skittrall, C Ingemarsdotter, J Gog, A Lever
– PLOS Computational Biology
(2019)
15,
e1007345
Symbolic transfer entropy reveals the age structure of pandemic influenza transmission from high-volume influenza-like illness data
S Kissler, C Viboud, B Grenfell, J Gog
(2019)
19005710
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)
479154
Geographic transmission hubs of the 2009 influenza pandemic in the United States
SM Kissler, JR Gog, C Viboud, V Charu, ON Bjørnstad, L Simonsen, BT Grenfell
– Epidemics
(2018)
26,
86
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
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
Contagion! The BBC Four Pandemic - The model behind the documentary
P Klepac, S Kissler, J Gog
– Epidemics
(2018)
24,
49
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Research Group

Disease Dynamics

Room

G0.10

Telephone

01223 760429