David Shumway is a data scientist and PhD candidate in computer science with 13 years of hands-on experience building production systems, research prototypes, and teaching across industry and academia. He blends deep applied ML (time-series, domain adaptation, GNNs, transformers) and knowledge-graph engineering with full-stack backend development—recently leading a Python/FastAPI AWS migration for a modular insurance CRM and developing ontology-driven risk assessment for waterborne illness. A seasoned educator and mentor, he has taught 11 semesters of courses from automata to big data and supervised NSF-REU researchers. His early entrepreneurial work built large-scale human-in-the-loop systems (3+ million microtasks) and popular open-source MTurk tooling, reflecting a knack for pragmatic automation and UX improvements. Based in Chicago, he pairs rigorous research methods with production-focused engineering and a history of turning messy, spatiotemporal datasets into actionable models and knowledge graphs.
12 years of coding experience
11 years of employment as a software developer
General Studies, General Studies at Germanna Community College
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of Illinois Chicago
Civil Engineering, Civil Engineering at Northeastern University
Architecture, Architecture at Utah Valley University
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at State University of New York at Plattsburgh
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David Shumway - Graduate Research And Teaching Assistant