Climate Costs of Health AI

Talk Title: The value tradeoff of artificial intelligence in medicine

Bio: Dr. Muhammad Mamdani is Vice President of Data Science and Advanced Analytics at Unity Health Toronto and Director of the University of Toronto Temerty Faculty of Medicine Centre for Artificial Intelligence Research and Education in Medicine (T-CAIREM). Dr. Mamdani’s team bridges advanced analytics including machine learning with clinical and management decision making to improve patient outcomes and hospital efficiency. Dr. Mamdani is also a Professor at the University of Toronto, an Affiliate Scientist at IC/ES and a Faculty Affiliate of the Vector Institute. He has published over 600 studies in peer-reviewed medical journals. Dr. Mamdani holds a Doctor of Pharmacy degree (PharmD) from the University of Michigan, a fellowship in pharmacoeconomics and outcomes research from the Detroit Medical Center, a Master of Arts degree in Economics from Wayne State University, and a Master of Public Health degree from Harvard University with a concentration in quantitative methods.

Talk Title: The Not So Hidden Costs of AI Models

Bio: Dr. Chris McIntosh is a Scientist at the Toronto General Hospital Research Institute and Assistant Professor at the University of Toronto, holding appointments in Medical Biophysics, Computer Science, and Medical Imaging. He further holds a joint research Chair in Medical Imaging and Artificial Intelligence at JDMI and the Department of Medical Imaging at the University of Toronto. His research focuses on the theory and clinical application of AI in medicine for improving patient care, encompassing multimodal learning, meta learning, and explainable AI. His past work on AI in radiation therapy has received regulatory approvals and is used directly in patient care around the world. His current investigations include AI and wearable technologies for heart failure management, and using multimodal learning to build foundational models in healthcare. He has authored publications in both clinical and technical journals such as Nature Medicine, IEEE Transactions on Medical Imaging, and Physics in Medicine and Biology.

Talk Title: Opportunities for Building Sustainable Data Science Pipelines

Bio: Dr. Bettina Kemme is a Professor at the School of Computer Science at McGill University, where she leads the Distributed Information Systems lab. Her general research interests lie in large-scale data management and distributed computing. Her recent projects involved graph-based database management and sustainability aspects of data science. Bettina holds a PhD degree in Computer Science from ETH Zurich and an undergraduate degree from the Friedrich-Alexander-Universität Erlangen, Germany. She has published well over 100 publications in major journals and conferences in the areas of database systems and distributed systems and regularly serves as PC Co-Chair or program committee member of major conferences, and as editorial board member of journals in the field. She co-created the Canadian workshop series on Data Systems meet Data Science (DSDS) and is the PI of an NSERC CREATE training program on Sustainable Data Systems for Data Science.