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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

    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

    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
    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, JM McCaw, TJ McKinley, JC Miller, M Morris, PD O'Neill, KV Parag, CAB Pearson, L Pellis, JRC Pulliam, JV Ross, GS Tomba, BW Silverman, CJ Struchiner, MJ Tildesley, P Trapman, CR Webb, D Mollison, O Restif
    – Proceedings. Biological sciences
    (2020)
    287,
    20201405
    Pease (1987): The evolutionary epidemiology of influenza A
    V Andreasen, JR Gog
    – Theoretical Population Biology
    (2020)
    133,
    29
    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
    – Journal of The Royal Society Interface
    (2020)
    17,
    20190628
    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 Comput. Biol.
    (2019)
    15,
    e1007345
    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
    (2019)
    26,
    86
    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
    • 1 of 7
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    Research Group

    Disease Dynamics

    Room

    G0.10

    Telephone

    01223 760429