Knowledge Graphs and Semantic Computing Speaker Series: Ying Ding

Ying Ding

Dr. Ying Ding, a Bill & Lewis Suit Professor at School of Information, University of Texas at Austin, will present "Drug Discovery, PubMed, and Clinical Trial." 

Access to previous talks can be found here.

Dr. Ying Ding is a Bill & Lewis Suit Professor at School of Information, and adjunct Professor at Department of Population Health at Dell Medical School, University of Texas at Austin. She leads the AI in Health Lab at School of Information and Dell Medical School with the focus on medical imaging, medical notes summary, health risk prediction, and explainable AI. She has been involved in various NIH, NSF and European-Union funded projects. She has published 300+ 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, the co-editor-in-chief for Data Intelligence published by MIT Press, 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 medical imaging, knowledge graph, graph deep learning, AI in health, data-driven science of science, and team collaboration.

Understanding human health and providing better care are knowledge-intensive endeavors, which cover the broad spectrum of pre-clinical and clinical practices. Multi-perspective health data have been accumulated and augmented with semantics. But the connectiveness of heterogeneous and multimodality health data remains a challenge. This talk highlights the potential of using knowledge graph to enrich the connectiveness in pre-clinical and clinical data and showcases the best practices of building drug discovery knowledge graph and PubMed knowledge graph, and applying them in clinical trial summary and medical imaging diagnosis.

We continue the CIRSS speaker series in Fall 2023 with a focus on “Knowledge Graphs and Semantic Computing”. We will meet on Fridays, 9-10am Central Time, on Zoom. To join a session, go to the current week’s session and click the “access” link, which will lead you to a calendar entry. There, click the “PARTICIPATE online” button to join a session. Recordings of past talks can be found next to "access" if available. The event is open to the public, and everyone is welcome to attend! This series is hosted by the Center for Informatics Research in Science and Scholarship (CIRSS). If you have any questions, please contact Jana Diesner and Halil Kilicoglu.

If you are interested in this speaker series, please subscribe to our speaker series calendar: Google Calendar or Outlook Calendar.

This event is sponsored by Center for Informatics Research in Science and Scholarship