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Yiwei Lu is an assistant professor in the School of Engineering Design and Teaching Innovation at the University of Ottawa. He obtained his PhD in computer science from the University of Waterloo and has conducted research as a Vector Institute researcher. His research focuses on trustworthy artificial intelligence and machine learning, addressing fundamental challenges related to AI safety, with particular emphasis on understanding how training data affects model behaviour. He is involved in building comprehensive, trustworthy machine learning pipelines and developing rigorous technical frameworks for AI auditing and governance. His work has been published in prestigious venues within the machine learning and computer vision fields, including NeurIPS, ICML, ICLR, AAAI, TMLR, and ECCV.
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