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About the presentation Synthetic data generation is an emerging approach for responsibly sharing data. Dr. Khaled El Emam reviews the use of generative models to produce synthetic real-world data and clinical trial data, along with studies evaluating the replicability of analyses using synthetic data and the privacy risks of synthetic data will. He also discusses further applications for enabling federated analysis and (selection) bias mitigation. About the speaker Dr. Khaled El Emam is the Canada Research Chair (Tier 1) in Medical AI at the University of Ottawa, where he is a Professor in the School of Epidemiology and Public Health. He is also a Senior Scientist at the Children’s Hospital of Eastern Ontario Research Institute and Director of the multi-disciplinary Electronic Health Information Laboratory, conducting research on privacy enhancing technologies to enable the sharing of health data for secondary purposes, including synthetic data generation and de-identification methods. Dr. El Emam is co-founder and CEO of Replica Analytics, a company that develops synthetic data generation technology. As an entrepreneur, he founded or co-founded six product and services companies involved with data management and data analytics, with some having successful exits. Prior to his academic roles, Dr. El Emam was a Senior Research Officer at the National Research Council of Canada. He also served as the head of the Quantitative Methods Group at the Fraunhofer Institute in Kaiserslautern, Germany. About HDRN Discussion Sessions HDRN Canada Discussion Sessions occur monthly and provide a supportive platform for HDRN Canada members to share their knowledge, experience and work. Land Acknowledgement We respectfully acknowledge that HDRN Canada is located on the traditional and unceded territories of the ʷməθkwəy̓əm (Musqueam), Sḵwx̱wú7mesh (Squamish), and Səl̓ílwətaɬ (Tsleil-Waututh) Nations, whom we acknowledge as the traditional owners and caretakers of those lands.