Daqing He

Daqing He is a Professor and Associate Chair of the Department of Informatics and Networked Systems (DINS) at the School of Computing and Information (SCI), University of Pittsburgh. He also holds appointments in the Intelligent Systems Program (ISP) and directs the Information Retrieval, Integration and Synthesis research lab. His academic journey began with a PhD from the University of Edinburgh, establishing a foundation for his distinguished career in information science.

Dr. He's research focuses on information retrieval, natural language processing, adaptive web systems, and scholarly data management. His work bridges computer science and information science with practical applications in healthcare, education, and social information access. He has published over 300 articles in prestigious journals and conferences including Journal of the Association for Information Science and Technology, Information Processing and Management, and ACM SIGIR proceedings.

His recent publications demonstrate a clear trajectory toward integrating advanced AI techniques with healthcare applications, particularly in clinical information retrieval, patient-centered recommender systems, and biomedical text processing. His work increasingly combines retrieval-augmented generation, large language models, and personalized health information systems to address real-world challenges in healthcare information access.

• ACM SIGIR CHIIR 2023 Best Short Paper Award
• ACM SIGIR CHIIR 2019 Best Poster Award
• iConference 2017 Best Poster Award
• ACM SIGIR CHIIR 2017 Best Student Paper Award
• iConference 2013 Best Paper Award Honorable Mention

Dr. He has successfully mentored numerous PhD students who have become active researchers in information science. His research has been supported by significant grants from NIH, NSF, Amazon Research Award, and the University of Pittsburgh, including the $1.48 million NIH NLM-funded HELPeR project developing a personalized health information access system for patients. His lab maintains strong collaborations with healthcare institutions and technology companies to translate research into practical applications.

His Information Retrieval, Integration and Synthesis lab brings together computer scientists, information scientists, and healthcare professionals to develop innovative solutions for information access challenges. Current projects focus on health information systems, clinical abbreviation resolution, and personalized learning technologies, reflecting his commitment to applying information science to improve human capabilities in information-rich environments.