Elmira earned a 2024/2025 CROSH Scholarship.

Thesis Title: “Predicting Air Quality Using Machine Learning: Integrating Regional and Private Sensor Data from Ontario and Sudbury”

Elmira recently completed her Masters in Computational Sciences. Her research focuses on leveraging machine learning to predict air quality, with a particular emphasis on fine particulate matter (PM2.5) and other pollutants such as nitrogen dioxide/nitrogen oxides (NO2/NOx) and ground-level ozone (O3). By analyzing historical air quality data from Ontario and Sudbury, including datasets from CROSH, she aims to uncover patterns and develop forecasting models. These insights can help improve public health and safety by providing actionable information to environmental agencies and the public, supporting proactive pollution management and activity planning for Northern Ontario communities.