
Professor of Mathematical Biology, DAMTP, University of Cambridge
David N. Moore Fellow in Mathematics, Queens' College
Current roles:
- Deputy Head of Department, DAMTP
- Vice President, Queens' College
- Director, Millennium Maths Project
- Co-lead, JUNIPER partnership
Honours and awards:
- 2023 IMA Hedy Lamarr Prize
- 2022 Weldon Memorial Prize (jointly by SPI-M-O)
- 2021 Royal Institution Christmas Co-Lecturer (with Jonathan Van Tam)
- 2020 OBE
- 2020 Honorary Membership of the Mathematical Association
- 2020 Royal Society Rosalind Franklin Award
- 2018 Vice-Chancellor's Impact Award
- 2018 Queens' teaching prize
- 2017 Whitehead Prize
- 2016 Forder Lecturer
- 2015 Pilkington Prize
- 2014 LMS popular lectures
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.
Publications
Human mobility and the spatial transmission of influenza in the United States.
– 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
– J Infect Dis
(2016)
214,
S380
(doi: 10.1093/infdis/jiw376)
Global Mortality Impact of the 1957–1959 Influenza Pandemic
– Journal of Infectious Diseases
(2016)
214,
738
(doi: 10.1093/infdis/jiw376)
Capturing the dynamics of pathogens with many strains.
– J Math Biol
(2015)
72,
1
(doi: 10.1007/s00285-015-0873-4)
Modeling infectious disease dynamics in the complex landscape of global health.
– Science (New York, N.Y.)
(2015)
347,
1216
(doi: 10.1126/science.aaa4339)
Five challenges in modelling interacting strain dynamics.
– Epidemics
(2014)
10,
31
(doi: 10.1016/j.epidem.2014.07.005)
Seven challenges in modeling pathogen dynamics within-host and across scales.
– Epidemics
(2014)
10,
45
(doi: 10.1016/j.epidem.2014.09.009)
Eight challenges in phylodynamic inference.
– 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.
– PLoS One
(2014)
9,
e102429
(doi: 10.1371/journal.pone.0102429)
Spatial Transmission of 2009 Pandemic Influenza in the US.
– PLoS Comput Biol
(2014)
10,
e1003635
(doi: 10.1371/journal.pcbi.1003635)
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