Dr. Catherine Tong is a researcher with a focus on improving the health and well-being of older adults, particularly racialised and foreign-born older Canadians. Her work involves community-based and patient-oriented research, employing mixed and qualitative methodologies. In addition to her research, Tong teaches courses related to health and ageing at the university level.
Tong completed her PhD in Interdisciplinary Studies at the University of British Columbia, with a focus on the physical activity and mobility of older adults from racial and ethnic minorities in Vancouver. Her prior degrees from the University of Victoria and Simon Fraser University were in languages, public policy, and intercultural communication.
Catherine Tong is currently affiliated with the University of Oxford, where she is a final-year PhD student working on Human Activity Recognition under the supervision of Dr. Nicholas Lane. She is also a visiting scholar at the Cambridge Machine Learning Systems Lab, University of Cambridge.
Tong has also been affiliated with the following institutions:
Her research interests include:
Catherine Tong is a researcher and academic with expertise in human activity recognition, machine learning, and health systems. She has contributed to various fields, including biostatistics, public health, and gerontology.
Tong completed her PhD at the University of British Columbia in the Interdisciplinary Studies Graduate Program, with a focus on the physical activity and mobility of older adults and the impact of the built and social environment. Her previous degrees from the University of Victoria and Simon Fraser University focused on languages, public policy, and intercultural communication.
Tong is currently affiliated with the University of Oxford, where she is a final-year PhD student working on Human Activity Recognition under the supervision of Dr. Nicholas Lane. She is also a visiting scholar at the Cambridge Machine Learning Systems Lab, University of Cambridge.
Her research interests include:
In addition to her research, Tong has also founded GirlsWhoML, delivering an online introductory course in Machine Learning to over 80 female students.
Tong's notable publications include:
Tong has also been affiliated with the following institutions:
Tong teaches courses at the university level, including:
Dr. Catherine Tong is a researcher with a PhD in Interdisciplinary Studies from the University of British Columbia. Her research focuses on improving the health and well-being of older adults, particularly racialized and foreign-born older Canadians. She employs community-based and patient-oriented research methodologies and has expertise in areas such as ethnicity and aging, home and community care, and multilingual research design. In addition to her research, she teaches courses on aging and health at the university level.
Catherine Tong received her PhD from the University of British Columbia's Interdisciplinary Studies Graduate Program, with a focus on Family Medicine. Her doctoral work involved a mixed-method exploration of the physical activity and mobility of Chinese and South Asian older adults in Vancouver, influenced by the local environment. Prior to her PhD, she studied languages, public policy, and intercultural communication at the University of Victoria and Simon Fraser University.
Catherine Tong is currently affiliated with the Geriatric Health Systems Research Group, where she is involved in projects such as the CFN-funded study "Transforming primary health care for frail elderly Canadians" and the CIHR-funded project "Developing strategies and resources to support patient and family engagement with racialized immigrant older adults." This project is being completed in nine languages to ensure accessibility. She has also served as the Social Science Section Editor for the Canadian Journal on Aging.
In addition to her work with the Geriatric Health Systems Research Group, Catherine Tong is also a final-year PhD student at the University of Oxford, supervised by Dr. Nicholas Lane. Her research at Oxford focuses on Human Activity Recognition. She is also a visiting scholar at the Cambridge Machine Learning Systems Lab, University of Cambridge.