Ryan Wisnesky is a technology leader and applied category theorist who has spent 11+ years translating deep mathematical breakthroughs into enterprise-grade data integration products as head of Conexus AI. He leads development of the Conexus CQL platform, embedding theorem proving and categorical mathematics to deliver real-time, scalable data interoperability with provable integrity. A former MIT postdoc under David Spivak with a PhD in computer science, Ryan bridges academic research and production engineering to solve messy, mis-matched data problems that traditional pipelines cannot. His work has driven dramatic gains in data visibility and integrity for clients while catalyzing a community of researchers toward commercial applications. Based in San Francisco, he combines hands-on systems design, mentorship of developer teams, and novel math-driven approaches that reduce repeated engineering by enabling “build-once” data pipelines.
11 years of coding experience
Postdoctoral Associate Mathematics, Postdoctoral Associate Mathematics at Massachusetts Institute of Technology
Doctor of Philosophy (Ph.D) Computer Science , Doctor of Philosophy (Ph.D) Computer Science at Harvard University
MS Computer Science, MS Computer Science at Stanford University
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