Summary
Colin Drayton is an information scientist with 11 years of experience applying data science and NLP to improve information flow and team intelligence, currently building NLP tools at Boeing. He blends a formal ML toolkit (TF-IDF, Doc2Vec, LC-Seg, custom classifiers) with human-centered research—user interviews and iterative bootstrapping—to turn messy communication data into actionable interfaces and searchable knowledge. His background spans government science archives to enterprise chatops, with practical wins like automating metadata for millions of records and classifying half a million emails. Trained in information science and complex systems at the University of Michigan and Santa Fe Institute, he specializes in removing bottlenecks in social networks so communities can emerge more naturally. An uncommon strength is his ability to formalize domain rules (from property law to archival practice) into reproducible pipelines that surface meaningful, contextual outputs for users.
11 years of coding experience
3 years of employment as a software developer
Master of Library & Information Science (MLIS), Information Science/Studies, Master of Library & Information Science (MLIS), Information Science/Studies at University of Michigan - School of Information
Anthropology, Anthropology at Fresno City College
Graduate Certificate, Complex Systems, Graduate Certificate, Complex Systems at University of Michigan
BA, Anthroplogy, Human Complex Systems, BA, Anthroplogy, Human Complex Systems at University of California, Los Angeles
B.A, Anthropology, B.A, Anthropology at Santa Fe Institute
English, Swedish, Vietnamese, Spanish, French