Senior Group Leader in Pathogen Dynamics, Nuffield Department of Medicine
I am a Senior Group Leader in Pathogen Dynamics at the Big Data Institute, and Professor in the Nuffield Department of Medicine. I am interested in studying the population dynamics and epidemiology of pathogens, and translating this knowledge to public health. The primary tools used in my group are mathematical modelling and pathogen genomics.
I trained in theoretical particle physics, and converted to mathematical biology after my PhD, in 1998. I was Royal Society URF and then Professor in the Department of Infectious Disease Epidemiology at Imperial College before joining the BDI at Oxford in 2016.
+++ for our work on Covid-19, please visit www.coronavirus-fraser-group.org +++
Current topics of interest are: HIV virulence; HIV treatment as prevention; HIV genomics; pneumococcal genomics; antibiotic resistance; outbreak response.
Current projects: BEEHIVE is cross-European study of HIV genomics and virulence amongst seroconverters. HPTN071 (PopART) is a cluster-randomized trial of HIV prevention including universal test and treat, in a population of 1.2 million people at high risk in Zambia and South Africa. PANGEA is a consortium mapping HIV-1 genomic diversity and linking to prevention modelling across sub-Saharan Africa. For MIDAS, we study the spread and dynamics of antibiotic resistance in Streptococcus pneumoniae in the USA. We have been involved in responses to outbreaks, such as SARS in 2003, H1N1pdm in 2009, and more recently MERS and Ebola.
I lead a friendly group of currently eight postdocs at various stages of their careers, a project officer and a scientific manager. We are recruiting postdocs at regular intervals and can supervise PhD students from several PhD programmes at Oxford University. Please don't hesitate to get in touch if you are interested in joining the group or collaborating with us.
Horizontal gene transfer rate is not the primary determinant of observed antibiotic resistance frequencies in Streptococcus pneumoniae
Lehtinen S. et al, (2020), Science Advances, 6, eaaz6137 - eaaz6137
Quantifying SARS-CoV-2 transmission suggests epidemic control with digital contact tracing.
Ferretti L. et al, (2020), Science (New York, N.Y.)
Phylogenetic and Demographic Characterization of Directed HIV-1 Transmission Using Deep Sequences from High-Risk and General Population Cohorts/Groups in Uganda.
Bbosa N. et al, (2020), Viruses, 12
Quantifying SARS-CoV-2 transmission suggests epidemic control with digital contact tracing
Ferretti L. et al, (2020)
Quantifying HIV transmission flow between high-prevalence hotspots and surrounding communities: a population-based study in Rakai, Uganda.
Ratmann O. et al, (2020), The lancet. HIV, 7, e173 - e183