Carnegie Mellon University

James Barr von Oehsen

James Barr von Oehsen

Research Professor, Electrical and Computer Engineering

Address 5000 Forbes Avenue
Pittsburgh, PA 15213


Dr. James Barr von Oehsen is the director of the Pittsburgh Supercomputing Center (PSC) and a research professor in the Department of Electrical and Computer Engineering at Carnegie Mellon University. Dr. von Oehsen joined PSC and CMU from Rutgers University where he served as Associate Vice President for the Office of Advanced Research Computing. There, he provided strategic leadership that propelled Rutgers’ research and scholarly achievements through next-generation computing, networking, and data science. Besides being an established leader in the cyberinfrastructure research, he developed and executed a comprehensive cyberinfrastructure strategy, centralizing research computing for the institution to broaden the scale and scope of research enabled by computing resources.

His research has been supported by NSF and NIH and includes designing and building secure campus-level federated platforms, cloud services, cybersecurity, advanced networking, computing on the edge, and workforce development programs aimed at improving technical expertise necessary to support these next-generation technologies and user communities. He also has extensive experience working with diverse campus research communities locally and throughout the nation and within the US industry sector and is a founding member of the Ecosystem for Research Networking (ERN). The ERN is a consortium of universities, regional network providers, and industry partners with a vision to simplify, support, catalyze, and foster multi-campus collaborations and partnerships between academic institutions of all types and sizes that advance the frontiers of research, pedagogy, and innovation.

In addition to his roles at PSC and CMU, Dr. von Oehsen holds an appointment at the University of Pittsburgh, where he is a research professor in the Departments of Electrical and Computer Engineering and Biomedical Informatics.



Advanced networking

Edge computing

Advanced computing

Machine learning

Federated platforms