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@@ -10,27 +10,33 @@ authors: | |
superuser: false | ||
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# Role/position (e.g., Professor of Artificial Intelligence) | ||
role: Postdoctoral researcher | ||
role: Postdoctoral Research Associate | ||
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# Organizations/Affiliations | ||
organizations: | ||
- name: Imperial College London | ||
url: "https://www.imperial.ac.uk/people/a.blenkinsop" | ||
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# Short bio (displayed in user profile at end of posts) | ||
bio: My research involves using viral sequence data and patient data to characterise HIV transmission and monitor the effectiveness of interventions at city-level. | ||
bio: My research involves using viral sequence data and patient data to characterise HIV transmission and guide public health interventions. | ||
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# List each interest with a dash | ||
interests: | ||
- Phylogenetics | ||
- Bayesian methods | ||
- Infectious diseases | ||
- Phylogenetics | ||
- HIV epidemiology | ||
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education: | ||
courses: | ||
- course: PhD in Medical Statistics | ||
institution: UCL | ||
year: 2020 | ||
- course: MSc in Medical Statistics | ||
institution: London School of Hygiene and Tropical Medicine | ||
year: 2016 | ||
- course: BSc in Mathematics and Statistics | ||
institution: University of Leeds | ||
year: 2013 | ||
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# Social/Academic Networking | ||
# For available icons, see: https://wowchemy.com/docs/page-builder/#icons | ||
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@@ -39,7 +45,7 @@ education: | |
social: | ||
- icon: envelope | ||
icon_pack: fas | ||
link: '#contact' # For a direct email link, use "mailto:[email protected]". | ||
link: mailto:[email protected] | ||
- icon: twitter | ||
icon_pack: fab | ||
link: https://twitter.com/AlexBlenky | ||
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- Researchers | ||
--- | ||
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I am a Postdoc working with the HIV Transmission Elimination Team at the Amsterdam Institute of Global Health and Development. My research involves using viral sequence data and patient data to characterise HIV transmission and monitor the effectiveness of interventions at city-level. My research interests include phylogenetics, mathematical modelling and Bayesian methods. | ||
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I am a Research Associate based in the statistics section at Imperial College London. My research uses viral sequence data, clinical and epidemiological patient data to characterise HIV transmission at population-level, which can be used to guide public health interventions. I have also been involved in research relating to COVID-19, with a focus on children losing parents and caregivers. More broadly, I am interested in studying health inequalities, to inform policy seeking to close these gaps. | ||
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I am also involved in research relating to COVID-19, with a focus on children losing parents and caregivers and disparities across the US. | ||
I have collaborated with numerous partners including the HIV Transmission Elimination Team (H-TEAM), the Amsterdam Institute of Global Health and Development, the Phylogenetics And Networks for Generalised Epidemics in Africa (PANGEA) HIV consortium, the Botswana-Havard AIDS Institute Partnership and the United States Centers for Disease Control and Prevention (CDC). |