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 π» I like to π΅ββοΈ, π and ποΈββοΈ.
ML Research Scientist @abridgeai. CS Ph.D. from the University of Toronto. Previous intern @allenai.
- Toronto, Canada
- johngiorgi.github.io
- @johnmgiorgi
- in/john-giorgi
Highlights
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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 27
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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.
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