Tianyi Qiu
PhD Student (incoming) at Foresight Institute
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolTianyi Qiu is an AI alignment researcher and incoming PhD student in Computer Science at Stanford with eight years of experience bridging experimental, formal, and social-science methods to study how alignment interacts with human truth-seeking and moral progress. Based in London, he has led award-winning projects—Spotlight and Best Paper at NeurIPS'24 and a Best Paper at ACL'25—probing empirical fragilities in alignment and how compression theories predict model resistance. His experience spans industry and nonprofit placements, including research roles at Anthropic, CHAI, and a fellowship at Foresight Institute focused on intelligent cooperation, combining hands-on engineering with policy-relevant impact. Notably, his work blends technical rigor with normative inquiry, treating alignment as both a scientific and societal problem rather than purely a modeling challenge.
8 years of coding experience
Bachelor of Science - BS, Computer Science and Technology, Bachelor of Science - BS, Computer Science and Technology at Peking University
Chinese, English
Github Skills (30)
algorithms10
data-structures10
python9
scientific-computing9
cuda9
inference8
linux8
ide8
windows8
scipy8
pytorch8
gcc7
llm7
llama7
cross-platform7
Programming languages (5)
Github contributions (5)
TianyiQ/IOI2021-Thesis-Collection
May 2021 - Sep 2021
IOI2021中国国家候选队论文集（民间版本）
Contributions:1 release, 31 commits, 1 PR in 4 months
TianyiQ/ioi2021-thesis
Dec 2020 - Feb 2021
Contributions:3 releases, 45 commits, 33 pushes in 1 month
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