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Department of Applied Mathematics and Theoretical Physics

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

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
(doi: 10.1371/journal.pcbi.1007345)
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
(2019)
19005710
(doi: 10.1101/19005710)
Sparking “The BBC Four Pandemic”: Leveraging citizen science and mobile phones to model the spread of disease
SM Kissler, P Klepac, M Tang, AJK Conlan, JR Gog
(2018)
479154
(doi: 10.1101/479154)
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
(doi: 10.1016/j.epidem.2018.10.002)
Urbanization and humidity shape the intensity of influenza epidemics in US cities
BD Dalziel, S Kissler, JR Gog, C Viboud, ON Bjørnstad, CJE Metcalf, BT Grenfell
– Science
(2018)
362,
75
(doi: 10.1126/science.aat6030)
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
(doi: 10.1371/journal.pone.0195763)
Contagion! The BBC Four Pandemic – The model behind the documentary
P Klepac, S Kissler, J Gog
– Epidemics
(2018)
24,
49
(doi: 10.1016/j.epidem.2018.03.003)
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
(doi: 10.1371/journal.pcbi.1005382)
Infectious Disease Surveillance in the Big Data Era: Towards Faster and Locally Relevant Systems.
L Simonsen, JR Gog, D Olson, C Viboud
– The Journal of infectious diseases
(2016)
214,
S380
(doi: 10.1093/infdis/jiw376)
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
– Journal of Infectious Diseases
(2016)
214,
s380
(doi: 10.1093/infdis/jiv534)
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Research Group

Disease Dynamics

Email

jrg20@cam.ac.uk

Room

G0.10

Telephone

01223 760429

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