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Aaron Purewal

Aaron Purewal

Researcher in AI trust & safety and applied machine learning

purewal
New York, New York, United States
Joined March 2024
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Summary

AI research focus on trust & safety and synthetic media: Aaron positions himself as a researcher working at the intersection of machine learning, computer vision, and trust & safety, contributing to multi-author research on generative AI risks, synthetic media, and regulation. aaronpurewal+2
Academic and lab affiliations at UT Austin: He has an academic affiliation with the University of Texas at Austin (appearing on the UT Urban Information Lab team page and Google Scholar with a verified utexas.edu email) and has been involved in lab research activities and campus AI projects. utexas+2
Early-career engineer with diverse industry experience: Aaron's background spans research labs, startups, and industry roles — including engineering and product roles and a forward-deployed engineering role at Jefferies — indicating experience applying AI research in practical and commercial settings. rocketreach+2
Entrepreneurial and community-oriented initiatives: Beyond academic publications, he has founded projects and runs a research-funding initiative (Open AI Research Community) intended to support diverse researchers and broaden participation in AI research. aaronpurewal+1

Work

Education

Projects

Writing

Bridging the LLM Accessibility Divide? Performance, Fairness, and ... (ACL/Workshop paper)

January 1, 2025

Research on LLM accessibility, performance, and fairness (co-authored; code referenced as available on GitHub in the workshop proceedings).

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Redirecting Europe's AI Industrial Policy (contributor)

October 1, 2024

Contribution to a policy report discussing EU AI industrial policy (Aaron Purewal listed among contributors).

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Risks and Opportunities of Open-Source Generative AI

January 1, 2024

Collaborative paper analyzing the risks and opportunities of open-source generative AI across near-, mid-, and long-term development stages and proposing recommendations for responsible openness.

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Impact of AI-generated 3D Models on Synthetic Media Regulation

January 1, 2024

Paper examining the impact of AI-generated 3D models on synthetic media regulation (listed on personal research PDFs).

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ON-PREMISES LLM DEPLOYMENT DEMANDS A MID (OpenReview paper)

Paper on considerations for on-premises LLM deployment (Aaron Purewal listed as a co-author in the OpenReview PDF).

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