Jenny So Youn Kim

- Utilized time series analysis techniques, including Vector Autoregression (VAR) models and statistical tests, to perform hypothesis testing and extract insights from data - Collaborated with government health organizations to conduct communication research focused on HPV immunizations - Conducted extensive research on the political dynamics and spread of misinformation on Canadian social media platforms - Proficiently designed interactive dashboards using Tableau and Power BI to effectively communicate survey data insights to external partners - Responsible for managing the data team and coordinating the analytics pipeline to ensure efficient data processing and analysis - Shared valuable data insights through the creation of policy briefs, publications, and presentations at conferences

-Conducted social network analysis and social media listening using natural language processing to study vaccine hesitancy around COVID-19 vaccines in online Twitter conversations -Utilized survey analysis results from SAS and reported findings on school-based vaccines to inform and create targeted messaging for the "What's Missing" school-based vaccination catch-up campaign in Ontario -Collaborated on the development and composition of successful project proposals, manuscripts, and grant applications -Contributed to a project recognized in the 2021Top 100 Projects on Sustainability by the International Research Center on Artificial Intelligence under the auspices of UNESCO -Assisted in managing the website for 19 to Zero and incorporating web design principles to enhance user experience and engagement

Studied the performance of enzymatic biofuel cells with chitosan. Maintained and operated laboratory equipment and instruments. Worked with lab team members to meet project goals. Joined in on weekly lab meetings to present experimental findings.

Prepared laboratory equipment and materials for lab procedures. Assisted in data entry and editing research paper manuscripts for publication.

• Advanced Statistical Modelling: Model diagnostics and model selection, modelling binary outcomes, Poisson regression, mixed-effects models, and generalized estimating equations • Machine Learning for Health Data Science: Supervised and unsupervised learning, deep learning, reinforcement learning, and sequential data modeling • Advanced Exploration and Visualization in Health: Advanced visualizations in Tableau, interactive analysis, web scraping, and natural language processing • Big Data in Health: Exploration of health administrative, wearable, genomic, and primary care databases

• Elementary statistics for applications: Statistical problem formulation, assumptions, and interpretation • Computing in the Life Sciences: Introduction to Python, and basic computation techniques using scientific data • Climate Measurement and Analysis: Local climate time series collection and analysis in Matlab