Ryan Wisnesky
Curriculum Vitae Ryan Wisnesky obtained B.S. and M.S. degrees in mathematics and computer science from Stanford University and a Ph.D. in computer science from Harvard University, where he studied the design and implementation of provably correct software systems. While at IBM Research Almaden he contributed to the Clio, Orchid, and HIL projects. While a postdoctoral associate in the MIT department of mathematics, he developed the CQL query language for ontology manipulation based on category theory. He is currently exploring applications of CQL to safe AI as CTO of Conexus AI.
Current Activities
Conexus AI seeks to replace legacy government and enterprise software applications with more sophisticated, next-generation mathematical components built on Kan extensions using CQL. This project takes on the (Lord of the Rings) silmarils as mascot, because the silmarils "rejoice in light and give it back in hues more marvellous than before", reflecting that even in the darkness of the smallest data sets, Kan extensions "of their own radiance shine like the stars".
- Generative Ontologies (DDTX, 2025)
- Semantic Search for SQL
- Hydra: Data Transformations Transformed
- Consensus-Free Spreadsheet Integration (Draft, 2022)
- Algebraic Property Graphs (Draft, 2022).
- Fast Left Kan Extensions Using the Chase (JAR 2022)
- Towards a More Reasonable Semantic Web (Draft, 2022)
- Relational to RDF Data Migration by Query Co-Evaluation (Draft, 2021)
- Informal Data Transformation Considered Harmful (HAI 2019)
- Categorical Data Integration for Computational Science (CMS 2019)