Hannah Smith is a graduate research assistant at UIUC with a decade of experience blending information science research, teaching, and applied data work. She focuses on healthy information ecosystems and evidence-informed decision-making, with hands-on projects in taxonomy development, data annotation, and crafting structured, multi-hop explanations for K-12 science QA. A seasoned educator since 2016, she teaches Python and data skills across introductory and applied courses and has coordinated TA programs. Her research spans news headline framing, confidence-assessment frameworks for research synthesis, and public library literacy initiatives—bringing an illustrator’s attention to clarity from her BFA alongside technical training in Information Science.
10 years of coding experience
2 years of employment as a software developer
The University of Arizona
Master of Library & Information Science - MLIS, Library and Information Science, Master of Library & Information Science - MLIS, Library and Information Science at University of Illinois Urbana-Champaign
A Squidward chatbot created with deep learning tools
Contributions:1 PR, 15 pushes, 1 branch in 3 months
chatbotdeep-learningmachine-learning
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