Jack Morris
New York, New York, United States
Summary
🤩
RockstarJack 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.
11 years of coding experience
Stackoverflow
1,312reputation
227kreached
27answers
19questions
Github Skills (19)
pytorch10
adversarial-attacks10
python10
machine-learning10
datasets10
natural-language-processing10
bert10
nlp10
pandas9
tensorflow7
languagetool6
grammar6
web-audio-api6
iphone6
python-multithreading6
Programming languages (12)
Github contributions (5)
QData/TextAttack
Oct 2019 - Dec 2022
TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/
Role in this project:
ML Engineer
ML EngineerContributions:6 releases, 88 reviews, 1042 commits in 3 years 2 months
Contributions summary:Jack's contributions centered around modifying and optimizing adversarial attack methods for natural language processing. They transitioned a greedy search algorithm to a beam search algorithm and also modified the attack method to use BERT sentence encoders. The user addressed multiple bug fixes, and implemented caching and test suite for the language model.
adversarial-attacksdata-augmentationnatural-language-processingpythonmachine-learning
huggingface/datasets
Jun 2020 - Mar 2022
🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
Role in this project:Data Scientist / ML Engineer
Data Scientist / ML EngineerContributions: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.
ainlpdatasetspytorchtensorflow
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