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Mr Vincent Nguyen
UCL Institute of Epidemiology and Health Care
1-19 Torrington Place
  • Research Assistant - Data Scientist
  • Epidemiology & Public Health
  • Institute of Epidemiology & Health
  • Faculty of Pop Health Sciences

Vincent Nguyen is a doctoral candidate in diabetic epidemiology, a COVID-19 researcher and an MBA student. He qualified in Computer Science from University College London in 2011, gained an MSc from the Farr Institute of Health Informatics in 2016 and is currently contributing to COVID-19 research.  

Research Summary

Vincent's research focuses on using gold-standard epidemiology methods alongside emerging yet robust public health data science to understand how the COVID-19 virus spreads and how specific activities in the community setting may change one's risk of catching COVID-19. 

Vincent's doctoral research evaluates the effectiveness of public health interventions on developing Type II Diabetes using linked electronic health records. In this work he has created methods to generate evidence-based phenotyping algorithms to identify cases of cardiovascular disease in primary care records. His work in this area also focuses on controlled trial emulation and reduction of confounding by indication in retrospective observational research

Teaching Summary

Vincent has contributed to three masters student's dissertations. The first was an MSc in the areas of Parkinson's disease at University College, University of London. The second was an MPH in Helicobacter Pylori prevalence in South and Central America at the London School of Hygiene and Tropical Medicine. The third was an MRes in Cardiovascular and Metabolic Sciences at Queen Mary College, University of London.

01-AUG-2020 Virus Watch Research Assisstant   Institute of Epidemiology & Health Care, United Kingdom
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