Jack Morris is a Computer Science PhD student at Cornell University with a decade of experience building and optimizing NLP and AI systems. His background includes an AI Residency at Google and a visiting researcher stint at Meta FAIR, where he focused on practical machine learning research and model robustness. An active open-source contributor, Jack has improved adversarial attack methods in the widely used TextAttack framework and added/maintained core datasets in Hugging Face’s datasets library, reflecting strengths in both algorithms and data engineering. He brings strong foundations in math and CS from UVA and applies production-minded tweaks—like beam search conversion, BERT sentence-encoder integration, caching, and test-suite work—to bridge research and deployable tools.
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
Role in this project:
Data Scientist / ML Engineer
Contributions:2 reviews, 5 commits, 6 PRs in 1 year 9 months
Contributions summary:Jack primarily contributes by adding and updating datasets to the `datasets` library. They added new datasets like "rotten_tomatoes", "AG News", and "AdvGLUE," which involve data manipulation, and feature engineering relevant to NLP tasks. Furthermore, the user updated the URLs for existing datasets and fixed markdown formatting, showcasing a focus on data integration and maintenance within the repository.
Live visualization of all the pokemon in your area... and more!
Contributions:40 commits, 19 PRs, 32 pushes in 7 days
reactdata-visualizationvisualization
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