Hannah Collison
Graduate Research Assistant
Baltimore, Maryland, United States
Summary
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Top SchoolHannah Collison is a Ph.D. student in Natural Language Processing at Johns Hopkins University with eight years of industry and research experience spanning NLP, AI, and cloud search. She built retrieval-augmented generation features on Azure Cognitive Search while on Microsoft’s Relevance Team and previously introduced vector search into semantic search during internships, demonstrating a clear path from research to production. A Magna Cum Laude MSE/BSE graduate from the University of Pennsylvania with minors in Mathematics and Engineering Entrepreneurship, she has contributed to NLP research in question answering and summarization and taught core AI coursework. Her background bridges applied ML (medical imaging segmentation, U-Net) and product-focused engineering, and she’s been recognized by selective programs at Google, CMU, and NASA—indicating both technical depth and leadership potential.
7 years of coding experience
5 years of employment as a software developer
Johns Hopkins UniversityHigh School Diploma, High School Diploma at Colegio México BachilleratoSummer Program Beautiful Patterns, Summer Program Beautiful Patterns at Massachusetts Institute of TechnologyMaster's of Science in Engineering - MSE Computer Science, Master's of Science in Engineering - MSE Computer Science at University of PennsylvaniaPre-Collegiate Summer Institutes Course in Engineering focused in Biomedical Optics, Pre-Collegiate Summer Institutes Course in Engineering focused in Biomedical Optics at Stanford University
Spanish, English, FrenchProgramming languages (2)
Github contributions (5)
isgla/pythonProteco
Jun 2019 - Jun 2019
Contributions:33 commits, 38 pushes, 1 branch in 16 days
isgla/isgla.github.io
Apr 2024 - Nov 2024
Contributions:37 pushes, 1 branch in 6 months
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