I am ML research scientist at Abridge working on training language models that aid and assist doctors in various clinical documentation tasks. I obtained a computer science Ph.D. at the University of Toronto and was a graduate student researcher at the Donnelly Centre for Cellular and Biomolecular Research and the Vector Institute for Artificial Intelligence, were my work centred on natural language processing (NLP) and natural language understanding (NLU) of scientific text, particularly biomedical literature. I previously interned at Ai2 (on the Semantic Scholar team) and at Semantic Health. I completed an undergraduate degree at the University of Ottawa, graduating with a B.Sc in biochemistry. I completed an M.Sc. in computer science at the University of Toronto. When I am not 💻 I like to 🚵♂️, 🏂 and 🏋️♂️.
- Toronto, Canada
- johngiorgi.github.io
- @johnmgiorgi
- in/john-giorgi
Highlights
- Pro
Pinned Loading
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allenai/open-mds
allenai/open-mds PublicThe corresponding code for our paper: "Exploring the Challenges of Open Domain Multi-Document Summarization". Do not hesitate to open an issue if you run into any trouble!
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BaderLab/Transfer-Learning-BNER-Bioinformatics-2018
BaderLab/Transfer-Learning-BNER-Bioinformatics-2018 PublicThis repository contains supplementary data, and links to the model and corpora used for the paper: Transfer learning for biomedical named entity recognition with neural networks.
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PathwayCommons/semantic-search
PathwayCommons/semantic-search PublicA simple semantic search engine for scientific papers.
Python 28
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mathematics-for-machine-learning
mathematics-for-machine-learning PublicA set of notes, in the form of a simple Github Pages site, which will serve as a complete crash course on the various areas of mathematics essential to understanding machine learning.
493 contributions in the last year
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Activity overview
Contribution activity
February 2025
Created 1 repository
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JohnGiorgi/evaluate
Python
This contribution was made on Feb 6
Created a pull request in huggingface/trl that received 2 comments
Raise UserWarning in RewardTraining if PEFT target_modules="all-linear"
What does this PR do? I ran into a nasty edge case that I don't think is documented anywhere when using the RewardTrainer
to train a reward model. …
Opened 1 other pull request in 1 repository
huggingface/evaluate
1
open
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fix: support "squared" argument for sklearn>=1.6.1
This contribution was made on Feb 6
Reviewed 2 pull requests in 2 repositories
huggingface/evaluate
1 pull request
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fix: support "squared" argument for sklearn>=1.6.1
This contribution was made on Feb 6
huggingface/trl
1 pull request
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Raise UserWarning in RewardTraining if PEFT target_modules="all-linear"
This contribution was made on Feb 2
Created an issue in huggingface/trl that received 1 comment
Llama 3 family of models does not seem to work with RewardTrainer
Reproduction
I noticed, when trying to train Llama3.1-8B with the RewardTrainer
for my own problem, that seemingly no matter what I tried I couldn'…