My name is Sean, I am an Epidemiologist working for the UBC and BC
Centres for Disease Control in Vancouver, British Columbia. My recent work focuses on COVID-19 variant severity.
My background includes various research roles related to health in academia, industry and volunteer positions, with a focus in
methodology, data / statistical analysis and academic writing. I have a passion for health science research, reproducible
research and data science, specifically data analysis and data visualisation.
I currently conduct research related to COVID-19 variants of concern (VOC) severity at the
BC Centre for Disease Control (BCCDC).
Our work uses large administrative databases to understand how these VOCs impact disease severity. Specifically, my
projects have been focused on VOC severity and how social determinants of health (e.g., income, education) can affect disease
severity.
My role is on focused on the design and methodology of research projects, data and statistical analysis, and scientific writing. This includes:
Our research was concentrated in occupational health and safety oh health workers, specifically in relation to COVID-19. During this role,
I worked on two main projects: Physician Occupational Health and Safety (POSH) Unit in Vancouver Coastal Health and with the
WHO Collaborating Centre at UBC.
POSH focused on providing a primary surveillance database for all physicans in Vancouver at the
start of the pandemic. The was the first of its kind in the city and helped keep doctors safe during the beginning stages of the pandemic.
The WHO collaborating Centre project was more focused on research. We collaborated with WHO teams in Siwtzerland to analyse a study of
international healthworkers to better understand their perception of occupational safety during the pandmic.
Our research group studied how different characteristics of the urban environment may be associated with cancer risk, physical
activity and obesity. We used British Columbia’s largest cohort, the British Columbia Generations Project, to
study epidemiological links between how different measures of the urban environment, like walkability, green
space and air pollution impact cancer risks and health. We also studied how the built environment can affect
cancer-causing behaviours.
My role as a research assistant was to conduct literature reviews and research in the
field, and contribute to the statistical analysis and writing academic papers.
During my time as a research associate at Broadstreet Health Economic and Outcomes Research, I gained in-depth experience in the design and execution of various types of epidemiological studies with a focus on systematic reviews and meta-analyses. My research experience included co-leading a systematic review on lysosomal acid lipase deficiency and have co-authored a meta-analysis published in the Journal of Managed Care Pharmacy.
I have co-authored several publications on a wide array of topics including COVID-19 variant severity, breast cancer risk,
and drug effecivess. In many of these analyses I am the first author, and led the analysis and writing.
Check out my CV for a full list of my publicaitons.
View all publications
The section below will provides a brief example of my programming skillset using publicly available data taken from the Government of Canada webiste. In this example I will walk through data preparation, data visualisation and reporting techniques, and provide three deliverables:
Data can be complicated to understand, therefore being able to provide concise and easy to understand data visualisations is key
to data exploration and in final manuscripts and deliverables. I have a passion for creating appealing and informative
figures to better help interpret the data.
The COVID-19 pandemic produced large amounts of data. In the example figure below, I tried to summarise the pandemic from
a Canadian perspective in a single figure. I have created this figure below using ggplot2 in R. This was figure was made using public data from
Government of Canada.
Sometimes a static image isn't enough to tease apart the data. In this case an interactive dahsboard may be
the solution. I enjoy bringing my figures to life by creating web app dashboards using Shiny in R.
The dahsboard below was created in R using Shiny and was styled using CSS. The dashboard allows the user to
look at infections, vaccination and mortality rate by specific province and year. Again, the data was taken from
the Government of Canada website.
Analysis is only one aspect of good research. The other important aspect is being able to commucate the results effectively.
When working on a project, I focus on building an efficient workflow with the final product being an automated report /
manuscript to easily share the results with colleagues. This allows small changes to the study population inclusion criteria
or statistical anlayses to be easily implemented and to create an updated report.
I have a passion for coding and using a variety of tools to accomplish my work efficiently. I have experience with a variety of languages and have used them in many projects, but my language of choice for analysis is R. To me, reproducibility is key, so optimising my code and workflow is always a priority.
Volunteering has always been important part of my life. I have been lucky enough to have been part of two amazing global health projects since the beginning of my Master's program at UBC, and continue to work on these projects today. Both projects are part of UBC's Global Health Initiative, and aim at giving back to local communities, as well as targeted research to provide a long-lasting impact.