معرفی
Yi Liu is an Assistant Professor in the Department of Mathematics and Statistics at York University's Faculty of Science. His research lies at the intersection of statistical machine learning, reinforcement learning, differential privacy, and functional data analysis, contributing to the advancement of privacy-aware intelligent systems and data-driven modeling.
His primary research interests include Reinforcement Learning, Differential Privacy, and Functional Data Analysis, with applications in secure and ethical artificial intelligence. These areas reflect a strong focus on developing machine learning methodologies that preserve individual privacy while maintaining model performance and statistical rigor.
Dr. Liu completed his Ph.D. in Statistical Machine Learning at the University of Alberta between 2017 and 2023, establishing a foundation in advanced statistical and computational techniques. His academic journey positions him at the forefront of modern data science research, particularly in high-dimensional and sequential decision-making settings.
While specific publications and advising activities are not detailed in the current profile, his research trajectory suggests active engagement in theoretical and applied machine learning. He is likely involved in securing research grants and mentoring students in data science and AI, though formal details are not provided.
Yi Liu is based at the Ross Building, Office N621B, on the Keele Campus of York University, where he contributes to teaching and research within the Department of Mathematics and Statistics.
