Summary
Kwame 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 Michigan
Bachelor’s Degree, Electrical Engineering, Bachelor’s Degree, Electrical Engineering at New Mexico State University
UMBC
Bachelor's Degree, Graphic Design, Bachelor's Degree, Graphic Design at Boston University
English, asl