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Department of Applied Mathematics and Theoretical Physics

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

Contagion! The BBC Four Pandemic – The model behind the documentary
P Klepac, S Kissler, J Gog
– Epidemics
(2018)
24,
49
Human mobility and the spatial transmission of influenza in the United States.
V Charu, S Zeger, J Gog, ON Bjørnstad, S Kissler, L Simonsen, BT Grenfell, C Viboud
– PLoS computational biology
(2017)
13,
e1005382
Infectious Disease Surveillance in the Big Data Era: Towards Faster and Locally Relevant Systems
L Simonsen, JR Gog, D Olson, C Viboud
– Journal of Infectious Diseases
(2016)
214,
S380
Infectious disease surveillance in the big data era: Towards faster and locally relevant systems
C Viboud, L Simonsen, R Fuentes, J Flores, MA Miller, G Chowell
– The Journal of Infectious Diseases
(2016)
213,
738
Capturing the dynamics of pathogens with many strains
AJ Kucharski, V Andreasen, JR Gog
– J Math Biol
(2015)
72,
1
Modeling infectious disease dynamics in the complex landscape of global health
H Heesterbeek, RM Anderson, V Andreasen, S Bansal, D De Angelis, C Dye, KTD Eames, WJ Edmunds, SDW Frost, S Funk, TD Hollingsworth, T House, V Isham, P Klepac, J Lessler, JO Lloyd-Smith, CJE Metcalf, D Mollison, L Pellis, JRC Pulliam, MG Roberts, C Viboud, Isaac Newton Institute IDD Collaboration
– Science (New York, N.Y.)
(2015)
347,
aaa4339
Five challenges in modelling interacting strain dynamics.
PS Wikramaratna, A Kucharski, S Gupta, V Andreasen, AR McLean, JR Gog
– Epidemics
(2014)
10,
31
Seven challenges in modeling pathogen dynamics within-host and across scales.
JR Gog, L Pellis, JLN Wood, AR McLean, N Arinaminpathy, JO Lloyd-Smith
– Epidemics
(2014)
10,
45
Eight challenges in phylodynamic inference.
SDW Frost, OG Pybus, JR Gog, C Viboud, S Bonhoeffer, T Bedford
– Epidemics
(2014)
10,
88
Demonstrating the Use of High-Volume Electronic Medical Claims Data to Monitor Local and Regional Influenza Activity in the US
C Viboud, V Charu, D Olson, S Ballesteros, J Gog, F Khan, B Grenfell, L Simonsen
– PLoS ONE
(2014)
9,
e102429
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Research Group

Disease Dynamics

Room

G0.10

Telephone

01223 760429