Aaron Bornstein

Principal AI Research Manager - Health & Life Sciences at Microsoft

Tel-Aviv, Tel-Aviv District, Israel
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Summary

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Rockstar
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Aaron Bornstein is a Principal AI Research Manager specializing in Health & Life Sciences with over a decade of experience building NLP-driven healthcare technologies at Microsoft. He blends deep technical leadership with developer advocacy experience from Lightning AI, where he led community initiatives and produced technical content for PyTorch Lightning and Grid.ai. Aaron contributes to open-source AI tooling — notably improving documentation for Lightning Flash to make complex multi-domain ML recipes more accessible — reflecting a practical focus on usability and reproducibility. His background spans applied biomedical engineering work at NIH and secure healthcare systems development, giving him uncommon fluency across clinical workflows, research tooling, and production ML. Based in Tel Aviv, he pairs academic training in computer science with a history/humanities perspective that informs pragmatic, user-centered AI solutions.
code12 years of coding experience
job10 years of employment as a software developer
bookWinter Session, Germany In The New Europe, Winter Session, Germany In The New Europe at University of Tübingen
bookBachelor of Arts (B.A.), Cum Laude, Honors in History, Honors in Computer Science, Bachelor of Arts (B.A.), Cum Laude, Honors in History, Honors in Computer Science at Goucher College
bookMasters of Science (MSc), Computer Science, Masters of Science (MSc), Computer Science at Bar-Ilan University
bookOSP, Computer Science, History, OSP, Computer Science, History at Ben-Gurion University of the Negev
languagesEnglish, Hebrew, Arabic
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Github Skills (11)

pytorch10
pytorch-lightning10
documentation10
classification9
machine-learning9
deep-learning8
deeplearning-ai8
datatables8
tabular8
image-classification8
datatable8

Programming languages (16)

C#PowerShellJavaC++CSSCVueGo

Github contributions (5)

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Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7 data domains
Role in this project:
userTechnical Writer
Contributions:23 reviews, 11 commits, 18 PRs in 6 months
Contributions summary:Aaron primarily contributed to the repository's documentation, focusing on refining existing guides and examples. Their work included updating documentation for image classification and tabular classification tasks, as well as general documentation improvements regarding data flow and predictions. The user also addressed typos and clarified concepts to improve accessibility for users with varying levels of machine learning experience.
aipytorchpytorch-lightningdeep-learningmachine-learning
Microsoft Datahack 2018 Math Teacher Challenge
Contributions:19 commits, 15 pushes, 2 comments in 13 days
teachermathpythonmicrosoft
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