Jesse Weaver

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Jesse Weaver
Contact Info
Emailweavej3@rpi.edu

Dr. Jesse Weaver is a Research Computer Scientist in the Data Intensive Scientific Computing group at Pacific Northwest National Laboratory where he focuses on scalable semantic systems. He is the principal investigator on the Resource Discovery and Extreme Scale Collaboration project, and he is also a member of the Center for Adaptive Supercomputing Software project.

Jesse completed his Ph.D. in computer science under the advisement of Professor James A. Hendler at Rensselaer Polytechnic Institute (RPI) in the spring of 2013. At RPI, he was a member of the Tetherless World Constellation where he and colleagues won the 2009 Billion Triple Challenge. Jesse was also the first recipient of the RPI Patroon Fellowship which was funded by Dr. Shirley Ann Jackson and Dr. Morris A. Washington. For his dissertation entitled "Toward Webscale, Rule-based Inference on the Semantic Web via Data Parallelism", Jesse is co-recipient of the 2013 Karen and Lester Gerhardt Prize.

Prior to graduate school, Jesse was a software engineer at Raytheon where he worked on parallelizing software and supporting RDF/SPARQL stores. Prior to that, Jesse received a B.S. in computer engineering from the University of Arkansas in Fayetteville where he graduated Summa cum Laude, First-Ranked Senior Scholar, and Outstanding Computer Engineering Senior.

Publications:
Presentations:

Project PI

TW LogoResource Discovery for Extreme Scale Collaboration (RDESC)
Principal Investigator: Eric Stephan, Jesse Weaver, and Karen Schuchardt
Description: Our objective is to develop a capability for describing, linking, searching and discovering resources used in collaborative science that is lightweight enough to be used as a component in any software system such as desktop user environments or dashboards but also scalable to millions of resources. A key design goal is to offer local control over resource descriptions thus reducing one of the bottlenecks to widespread adoption. We propose to build a prototype framework and associated services, the Resource Discovery for Extreme Scale Collaboration (RDESC), that meet these objectives.

Project Collaborator

TW LogoResource Discovery for Extreme Scale Collaboration (RDESC)
Principal Investigator: Eric Stephan, Jesse Weaver, and Karen Schuchardt
Description: Our objective is to develop a capability for describing, linking, searching and discovering resources used in collaborative science that is lightweight enough to be used as a component in any software system such as desktop user environments or dashboards but also scalable to millions of resources. A key design goal is to offer local control over resource descriptions thus reducing one of the bottlenecks to widespread adoption. We propose to build a prototype framework and associated services, the Resource Discovery for Extreme Scale Collaboration (RDESC), that meet these objectives.