Kwame Robinson
Assistant Professor at Wayne State University - Mike Ilitch School of Business
Detroit, Michigan, United States
Summary
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Senior🎓
Top SchoolKwame Robinson is an Assistant Professor and PhD-trained researcher specializing in machine learning, distributed architectures, and community-defined economic systems, with 11 years of industry and academic experience. He blends deep technical expertise—from Vowpal Wabbit and PyTorch to Spark, Docker, and blockchain protocols—with applied research in generative economics and AI ethics to help communities design value systems that prioritize more than money. Prior roles include leading data science teams, founding a consultancy that tackled predictive and cybersecurity problems, and building production NLP and semantic similarity systems for national-scale data exchanges. His work uniquely combines reverse-engineering skills and low-level systems experience with frontend and design sensibilities (graphic design background), enabling him to prototype end-to-end socio-technical systems and evaluate them with mixed-methods empirical designs. Based in Detroit, he actively translates interdisciplinary theory into practical software and policy-relevant experiments.
11 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy - PhD Information, Doctor of Philosophy - PhD Information at University of MichiganBachelor’s Degree Electrical Engineering, Bachelor’s Degree Electrical Engineering at New Mexico State UniversityUMBCBachelor's Degree Graphic Design, Bachelor's Degree Graphic Design at Boston University
English, asl
Stackoverflow
759reputation
86kreached
14answers
6questions
Github Skills (200)
genetic10
multiclass-classification10
parameter-tuning10
confusion-matrix10
classification10
aiml10
nlp9
state-diagram9
state-machine9
cpp9
named-entity-recognition9
turkish9
reinforcement-learning9
text-classification9
mathematics9
Programming languages (15)
Github contributions (5)
worldbank/NEXT
Jun 2017 - Jul 2017
Contributions:63 commits, 62 pushes in 1 month
pythonactive-learningevaluatedata-sciencemachine-learning
robinsonkwame/adversarial_labeller
Aug 2019 - Dec 2022
Adversarial labeller is a sklearn compatible instance labelling tool for model selection under data drift.
Contributions:1 review, 67 commits, 8 PRs in 3 years 4 months
sklearnadversarial-machine-learningdeep-learningadversariallabeller
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