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Faculty of Mathematics

 

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

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
– J Infect Dis
(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
– J Infect Dis
(2016)
214,
s380
(doi: 10.1093/infdis/jiv534)
Capturing the dynamics of pathogens with many strains
AJ Kucharski, V Andreasen, JR Gog
– Journal of mathematical biology
(2015)
72,
1
(doi: 10.1007/s00285-015-0873-4)
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
(2015)
347,
aaa4339
(doi: 10.1126/science.aaa4339)
Five challenges in modelling interacting strain dynamics
PS Wikramaratna, A Kucharski, S Gupta, V Andreasen, AR McLean, JR Gog
– Epidemics
(2014)
10,
31
(doi: 10.1016/j.epidem.2014.07.005)
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
(doi: 10.1016/j.epidem.2014.09.009)
Eight challenges in phylodynamic inference.
SDW Frost, OG Pybus, JR Gog, C Viboud, S Bonhoeffer, T Bedford
– Epidemics
(2014)
10,
88
(doi: 10.1016/j.epidem.2014.09.001)
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
(doi: 10.1371/journal.pone.0102429)
Spatial Transmission of 2009 Pandemic Influenza in the US
JR Gog, S Ballesteros, C Viboud, L Simonsen, ON Bjornstad, J Shaman, DL Chao, F Khan, BT Grenfell
– PLoS Comput Biol
(2014)
10,
e1003635
(doi: 10.1371/journal.pcbi.1003635)
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Research Group

Disease Dynamics

Email

jrg20@cam.ac.uk

Room

G0.10

Telephone

01223 760429

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