Kai Biermeier
Labortechniker Social Sciences at TRR 318 „Constructing Explainability“
Paderborn, North Rhine-Westphalia, Germany
Summary
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Senior🎓
Top SchoolKai Biermeier is a lab technician and social-science-focused computer scientist with nine years of experience supporting empirical research at Universität Paderborn and the TRR 318 "Constructing Explainability" collaborative. He programs psychological experiments, analyzes behavioral data, and advises on technical requirements for studies exploring co-constructive explainable AI and human-human explanations. With an M.Sc. in Computer Science (1.4) and a background in research and applied roles at SICP, Fraunhofer IEM, and dSPACE, he bridges rigorous engineering practices with experimental design. Kai’s work sits at the intersection of HCI, cognitive science, and AI, enabling reproducible, technically sound investigations into how explanations are constructed in interaction. An understated strength is his ability to translate research questions into robust, automatable experimental pipelines that accelerate empirical discovery.
9 years of coding experience
Master of Science, Computer Science, 1,4, Master of Science, Computer Science, 1,4 at Universität Paderborn
Github Skills (26)
unity3d9
temporal7
anova7
github7
statistical-tests6
model-driven6
javascript4
deploying4
browser4
statistics4
python3
jspsych3
angular3
pandas3
command-line-interface3
Programming languages (3)
Github contributions (5)
caiusno1/CatFrame
Sep 2021 - Feb 2022
Contributions:24 commits, 21 pushes, 1 branch in 4 months
caiusno1/M-RS-SAUI-Prototype
Feb 2019 - Mar 2022
Contributions:12 PRs, 52 pushes, 19 branches in 3 years 1 month
model-drivenmodel-at-runtimeuser-interfaceself-adaptive-systemscomputer-science
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