Keng-chi Chang
Research Scientist Intern at Giant Oak, Inc. (acquired by Fidelity Investments)
San Diego, California, United States
Summary
👤
Senior🎓
Top SchoolKeng-chi Chang is an Assistant Professor of Quantitative Social Science who studies how AI systems reshape information access, political communication, and behavior at scale, blending multimodal ML, causal inference, and large-scale digital trace analysis. He holds a PhD in Computational Social Science and an MS in Computer Science from UC San Diego and has published in PNAS, Journal of Communication, and NeurIPS workshops, with coverage in The Economist. His technical work spans PyTorch-based VLMs, LoRA fine-tuning, LLM interpretability, and production ML pipelines that processed over 1M social media images. Recent projects audit short-form video recommendation algorithms and develop methods to detect visual treatments in AI-generated content, reflecting a rare combination of platform algorithm auditing and experimental survey design. With 11 years of experience across academia and industry, he brings both rigorous causal thinking and production engineering to questions of AI safety, trust, and moderation.
11 years of coding experience
University of California, San DiegoVisiting Graduate Student, Economics, Visiting Graduate Student, Economics at University of Wisconsin-MadisonBachelor of Arts - BA, Economics, Bachelor of Arts - BA, Economics at National Taiwan University
English, Chinese
Stackoverflow
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Github Skills (37)
camp9
ane9
apple-silicon7
sublime7
textmate7
swiftui6
sublime-text6
roamresearch5
science5
swift5
backup5
cron5
math4
macos4
github3
Programming languages (7)
Github contributions (5)
KengChiChang/2016-Principles-of-Economics-TA-Session
Oct 2016 - Dec 2016
Contributions:33 commits, 32 pushes, 1 branch in 2 months
ucsdtgsa/ucsd-tgsa-handbook
Apr 2019 - Oct 2020
Contributions:76 commits, 6 PRs, 96 pushes in 1 year 7 months
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