Erin Gill is a data scientist and bioinformaticist with a decade of experience applying machine learning, NLP, and data engineering to infectious disease research. As a University Research Associate at Simon Fraser University, she leads data-driven initiatives that turn complex genomics and public health data into actionable insights. At CoVaRR-Net she coordinates cross-disciplinary teams and built Python-based ML models to identify factors driving vaccine hesitancy, and developed a Flask-based web quiz to help Canadians determine COVID-19 vaccine eligibility. She has designed ETL pipelines and deployed PostgreSQL databases on AWS RDS, plus dashboards hosted on Heroku to visualize live Canadian SARS-CoV-2 case and vaccination data. With a PhD in Genetics from UBC and extensive experience across academia and biotech, Erin combines rigorous analytics with hands-on software delivery and leadership in national research initiatives.
10 years of coding experience
11 years of employment as a software developer
BSc, Biochemistry and Biology (honors), BSc, Biochemistry and Biology (honors) at Dalhousie University
PhD, Genetics, PhD, Genetics at The University of British Columbia
Methods to automatically parse longitudinal numeric data for outliers using IQR and modified z-score, will also predict future time points using linear regression
Contributions:6 PRs, 15 pushes, 1 branch in 2 years 1 month
A simple GUI that allows users to check whether mutations from a SARS-CoV-2 genome best fit a mutational distribution of genomes derived from global, chronic, or deer infections.
Contributions:14 PRs, 118 pushes, 6 branches in 8 months
mutation-analysissars-cov-2zoonoses
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Erin Gill - University Research Associate (Junior Faculty)