Ying Ding

Bill & Lewis Suit Professor at University of Texas at Austin

Dr. Ying Ding is Bill & Lewis Suit Professor at School of Information, University of Texas at Austin. She co-chairs the AI in Health Lab at UT with the focus on developing novel AI algorithms for medical imaging diagnosis and health risk prediction. Before that, she was a professor and director of graduate studies for data science program at School of Informatics, Computing, and Engineering at Indiana University. She has been involved in various NIH, NSF and European-Union funded projects. She has published 240+ papers in journals, conferences, and workshops, and served as the program committee member for 200+ international conferences. She is the co-editor of book series called Semantic Web Synthesis by Morgan & Claypool publisher, and serves as the editorial board member for several top journals in Information Science and Semantic Web. She is the co-founder of Data2Discovery company advancing cutting edge AI technologies in drug discovery and healthcare. Her current research interests include data-driven science of science, AI in healthcare, Semantic Web, knowledge graph, data science, scholarly communication, and the application of Web technologies.