Dr. Xiaodan Zhu is an assistant professor in the Department of Electrical and Computer Engineering at Queen’s, where he leads the Text Analytics and Machine Learning Lab (TAML). He is also a member of Queen's Ingenuity Labs Research Institute and is an affiliated expert with Queen’s Conflict Analytics Lab. He is associate editor of the journal Computational Intelligence and serves as the program co-chair of the 33rd Canadian Conference on Artificial Intelligence. His research interests include machine learning, natural language processing, deep learning, and artificial intelligence. Prior to joining Queen’s in 2017, Dr. Zhu was a research officer at the National Research Council of Canada.

In this episode, Dr. Zhu discusses how his research, at the frontier of artificial intelligence, is helping computers better understand language, with wide ranging applications. He also explains the intersections of law and AI with his work at the Queen’s Conflict Analytics Lab.

Please visit the Department of Electrical and Computer Engineering for more information about Dr. Zhu’s research.