Artificial Intelligence in a Federated Landscape: Panel Discussion
The fifth webinar in HDRN Canada’s Federated Analysis: State of the Science Collective Learning Series will provide an overview of possible artificial intelligence (AI) analytics in a federated landscape. Dr. Elissa Strome will moderate a panel discussion featuring Dr. Rui Duan, Dr. John Langford, and Dr. Aline Talhouk on the feasibility of different types of AI analytics and demonstrating practical examples of AI in the Canadian administrative health data context.
About the Speakers
Dr. Rui Duan is an Assistant Professor of Biostatistics and a primary faculty member in the Department of Epidemiology at the Harvard T.H. Chan School of Public Health. She is also an affiliated member of the Harvard Data Science Initiative. Her research emphasizes the development of statistical, machine learning, and informatics methods to generate reliable real-world evidence from vast digital health-related data sets. She has developed a series of tools for analyzing and integrating large-scale biomedical data including electronic health records (EHR), biobanks, medical claims, and health surveys. She develops methods to make multi-institutional collaborative learning more efficient, by designing data harmonization tools and statistical methods based on summary-level statistics with privacy protection.
Dr. John Langford is the Partner Researcher Manager at Microsoft. Dr. Langford wants to solve machine learning and is the primary author of the popular Machine Learning weblog, hunch.net and the principal developer of Vowpal Wabbit. He has previously worked at Yahoo!, Toyota Technological Institute, and IBM‘s Watson Research Center. Previous research projects include Isomap, Captcha, Learning Reductions, Cover Trees, and Contextual Bandit learning.
Dr. Elissa Strome is the Executive Director of the Pan-Canadian Artificial Intelligence Strategy at CIFAR. She works with leaders at Canada’s three national AI Institutes in Edmonton (Amii), Montreal (Mila) and Toronto (Vector Institute), and across the country, to advance Canada’s leadership in AI research, training and innovation. She is a champion of equity, diversity and inclusion in science and an ambassador for Canada’s position in AI research, innovation and policy internationally. Dr. Strome is a member of the federal government’s AI Advisory Council, where she co-chairs the Public Awareness Working Group, and the OECD Network of Experts on AI.
Dr. Aline Talhouk is an assistant professor in the Department of Obstetrics and Gynecology in the Faculty of Medicine at the University of British Columbia. She is also the principal investigator at OVCARE, BC’s ovarian and gynecological cancer research program, where she directs a data science and informatics laboratory. Dr. Talhouk has expertise in computational statistics and machine learning, specifically in developing and implementing predictive models in women’s health and oncology. Her research leverages statistical computing, machine learning, and AI to translate omics discoveries into clinical applications and bring individualized care to ovarian and endometrial cancer patients. Dr. Talhouk is also researching the ethical use of innovative digital health and informatics tools, including mobile health data and data from wearables. She is leading the development of infrastructure that uses privacy-preserving federated artificial intelligence and distributed machine learning to derive predictive analytics in gynecologic cancer while overcoming the need to share data.