Aidan Kierans is a PhD student and Graduate Research Assistant specializing in AI alignment and moral reasoning, collaborating closely with MIT’s Algorithmic Alignment Group. He is first author on an AAAI paper quantifying agent misalignment and contributes to frontier model safety as an OpenAI red-teamer. Beyond research, Aidan builds infrastructure for the field—leading the Moral Knowledge Graph dataset, founding an AI safety fellowship at UConn, and prototyping an AI safety auditing nonprofit. His background in both computer science and philosophy informs a rare combination of technical rigor and normative clarity, which he applies to policy work at CDT and government-facing education programs. With eight years of experience across research, teaching, and applied safety engineering, he focuses on making AI systems both well-aligned and governable.
8 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science and Engineering, Doctor of Philosophy - PhD, Computer Science and Engineering at University of Connecticut
Bachelor of Science - BS, Computer Science with a concentration in Data Science, Bachelor of Science - BS, Computer Science with a concentration in Data Science at Virginia Commonwealth University
🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.
Contributions:4 PRs, 5 pushes in 1 day
pytorchnlptransformersartbert
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