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Paul Pu Liang

Paul Pu Liang

Paul is Ph.D. student in the Machine Learning Department at CMU, advised by Louis-Philippe Morency and Ruslan Salakhutdinov. His long-term research goal is to build socially intelligent embodied agents with the ability to perceive and engage in multimodal human communication. As steps towards this goal, his research focuses on 1) the fundamentals of multimodal learning, specifically the representation, translation, fusion, and alignment of heterogeneous data sources, 2) human-centered language, vision, speech, robotics, and healthcare applications, as well as 3) the real-world deployment of socially intelligent agents by improving fairness, robustness, and interpretability in real-world applications. Previously, he received an M.S. in Machine Learning and a B.S. with University Honors in Computer Science from CMU