Rylen is a Data Analyst for Limestone Analytics. In this role, he’s worked on various projects across sectors by contributing to the implementation of data-driven solutions. While at Limestone, Rylen completed his Bachelor’s in Mathematics and Computer Science at Queen’s University. He worked as a research assistant at Queen’s, applying machine learning methods to other fields. Currently, Rylen is completing his M.Sc. in Computing Science at Simon Fraser University. His research aims to develop data-to-text generation models and how to make these models more robust through data augmentation. Rylen’s research interests include data science, the environment, sustainability, and nutrition.
Join us this International Development Week to learn about scenario planning as a tool to navigate uncertainty in international development, and how scenario planning can be used in planning for […]
According to Limestone’s latest modeling, a more-intense early-year lockdown may be less costly for the Canadian economy in the long run. Limestone’s STUDIO model, which provides rapid-response policy analysis to […]
