Professor, School of Information Director; Center for Digital Society and Data Studies

P. Bryan Heidorn

Educational Background:
    B.S. Psychobiology, MS and PhD in Information Science, University of Pittsburgh
P. Bryan Heidorn is a Professor at the University of Arizona School of Information, where he directs the Center for Digital Society and Data Studies: From 2009-2018 he served as the Director of the School of Information Resources and Library Science and the School of Information. Prior to that he served as a program officer at the National Science Foundation in the Division of Biological Infrastructure and participated in NSF cyberinfrastructure initiatives though Computer, and Information Science and Engineering and other programs. He served for ten years on faculty of the University of Illinois School of Information Sciences.

His current research grants include Astrolabe, a project to create active data repositories for data in astronomy that might otherwise be lost (dark data). He also is brining and NSF Harnessing the Data Revolution project titled: Converging Genomics, Phenomics, and Environments Using Interpretable Machine Learning Models. He is also working on a project to establish sensor networks to help predict species interaction.
Area(s) of Interest:
  • Machine Learning
  • Natural Language Processing
  • Data Science Literacy