Department Chair, Research Methods And Information Science
Denver, Colorado, United States
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Summary
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Peter Organisciak is a research-focused machine learning and AI practitioner who leads the Department of Research Methods and Information Science at the University of Denver, bringing 13 years of experience applying text-based ML to large digital libraries, search, and educational testing. He runs the Massive Texts Lab, translating scholarship-scale problems—like mining a 15M-book HathiTrust corpus—into practical analytics tools and reproducible workflows. His background spans academia and industry research internships (including Microsoft) and blends deep LIS expertise (PhD, UIUC) with hands-on software development dating back to freelance projects and web-instruction. Known for bridging humanities computing and scalable NLP, he combines rigorous research methods with production-minded engineering to tackle long-tail scholarly questions at scale.
13 years of coding experience
19 years of employment as a software developer
Master of Arts (MA) Humanities Computing – Library and Information Studies, Master of Arts (MA) Humanities Computing – Library and Information Studies at University of Alberta
BA Multimedia Communications (Cultural Studies), BA Multimedia Communications (Cultural Studies) at McMaster University
Doctor of Philosophy (Ph.D.) Library and Information Science, Doctor of Philosophy (Ph.D.) Library and Information Science at University of Illinois Urbana-Champaign
Contributions:133 commits, 22 pushes, 1 branch in 2 years 9 months
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Peter Organisciak - Department Chair, Research Methods And Information Science