Dr. Carolyn Augusta

Biography

Carolyn Augusta is a passionate statistics teacher and researcher currently focused on course instruction and the development of quantitative critical thinking skills to enhance business excellence. With formal training from the University of Waterloo and the University of Guelph, she joined the Edwards School of Business at the University of Saskatchewan in 2019. Her research interests include agribusiness processes with a specific emphasis on developing epidemiological applications in deep learning and machine learning methodologies. Carolyn is an elected member of the University Council, serving on both the Academic Programs Committee and the Academic Integrity Task Force. She has taught courses such as COMM 104 and COMM 207, and her research involves the use of statistical and machine learning methods for epidemiological applications that affect agribusiness and human health. Her work includes investigations into the spread of diseases, the use of deep learning to classify epidemic curves, and the simulation of plant populations. Notably, her doctoral research applied machine learning techniques to predict the spread of COVID-19 in Saskatchewan, and she has also developed extensive open-access course notes for students. Additionally, Carolyn has participated in scholarship related to teaching and learning, co-authoring a book chapter focused on academic integrity during the pandemic.

Research Interests

Experience