Benjamin Kane

Applied Research Scientist at Openstream.AI

City of Rochester, New York, United States
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Summary

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Benjamin Kane is an applied research scientist specializing in neuro-symbolic AI, combining deep learning with logical reasoning and hierarchical planning to build explainable, predictable systems for high-stakes domains. With 11 years of experience and a PhD from the University of Rochester, he has designed dialogue management frameworks used in virtual patients and conversational tutors (SOPHIE, LISSA, DAVID) and published work on Bayesian models of communicative mental states. His internships bridged research and application—enabling robot concept learning via interactive dialogue and creating low-code BPMN tools that translate graphical flows into plan-based dialogue managers. Based in Rochester, NY, he brings a rare blend of cognitive robotics, formal planning, and applied dialogue systems expertise aimed at making AI both capable and accountable.
code11 years of coding experience
job2 years of employment as a software developer
bookHigh School, High School at Pittsford Mendon High School
bookDual-Degree, Bachelor of Science (B.S.) Computer Science, Bachelor of Arts (B.A.) Economics, Dual-Degree, Bachelor of Science (B.S.) Computer Science, Bachelor of Arts (B.A.) Economics at University of Rochester
bookComputer Science, Computer Science at University of Bristol
languagesEnglish, Spanish
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Github Skills (200)

command-line-interface10
swagger10
interpreter10
azure-cli10
automation10
visual-studio10
ascii10
linter10
command-line-tool10
openapi10
simplify10
windows-app10
dynamodb10
api10
snapcraft10

Programming languages (29)

C#CElmGoHTMLSvelteTypeScriptCUE

Github contributions (5)

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bbkane/logos

Jun 2021 - Jan 2025

Logging + Printing + Compromising
Contributions:7 PRs, 25 pushes, 9 branches in 3 years 7 months
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bbkane/bbkane.github.io

Dec 2016 - Sep 2022

Contributions:294 commits, 3 PRs, 244 pushes in 5 years 9 months
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Benjamin Kane - Applied Research Scientist at Openstream.AI