Joshua Shinavier

Research scientist, Uber

Joshua Shinavier is a research scientist at Uber, and a co-founder of what is now Apache TinkerPop, holding a Ph.D. in Web Science from RPI’s Tetherless World Constellation. He contributed to the first common APIs for graph databases, the original TinkerPop query language which influenced Gremlin, and the first tools which aligned the property graph and RDF data models, starting with neo4j-rdf-sail in 2008.

At Uber, he is a member of the knowledge graph team, and leads a company-wide effort to unify data models and schemas across RPC, streaming, and storage. He also happens to be a fanboy of urban air mobility. Joshua has a deep-seated fascination with languages and knowledge representation which goes beyond his professional life. He has been building a detailed personal knowledge graph, as a kind of proxy for his own brain, on a daily basis since 2011.

As much as possible, Joshua tries to stand with one foot in industry, another in open source software, and yet another in academia. He feels that these communities have a lot to learn from each other with respect to graphs and knowledge representation.

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In Search of the Universal Data Model

Nodes Room

For as long as people have been thinking about thinking, we have imagined that somewhere in the inner reaches of our minds there are ghostly, intangible things called ideas which can be linked together to create representations of the world around us — a world that has a certain structure, conforms to certain rules, and to a certain […]


Graph Databases Will Rule the World in the 2020s. But Why, and How?

Edges Room

Some of us may have been saying that for years, but now the Gartners of the world are picking up on it too. So, the Gartner oracles have spoken: “The application of graph processing and graph DBMSs will grow at 100 percent annually through 2022 to continuously accelerate data preparation and enable more complex and […]

Edges Track