Benjamin Kane

Applied Research Scientist at University of Rochester

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
automation10
code-generation10
command-line-tool10
clipboard10
openapi10
syncthing10
windows-app10
webstorm10
vagrant10
gofmt10
cassandra10
jetbrains-ides10
toml10

Programming languages (28)

C#CElmGoHTMLTypeScriptCUEShell

Github contributions (5)

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bbkane/bbkane.github.io

Dec 2016 - Sep 2022

Contributions:294 commits, 3 PRs, 244 pushes in 5 years 9 months
bbkane/shovel

Mar 2023 - Jun 2025

Explore complex DNS records by making and aggregating DNS requests
Contributions:1 review, 21 PRs, 70 pushes in 2 years 3 months
dnsdns-recordgo
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