基本信息
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Bio
I am a machine learning scientist with a strong foundation in software engineering who leads interdisciplinary teams. I strive for interpretable, fair, and transparent algorithms as AI increasingly pervades our daily lives. As a neuroscientist by training, I approach ML problems with experimental and analytical rigor.
Research Interests
Papers共 26 篇Author StatisticsCo-AuthorSimilar Experts
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ACM Conference on Fairness, Accountability and Transparencypp.1395-1417, (2024)
Evan Hubinger,Carson Denison,Jesse Mu, Mike Lambert,Meg Tong, Monte MacDiarmid,Tamera Lanham,Daniel M. Ziegler, Tim Maxwell,Newton Cheng,Adam Jermyn,Amanda Askell,
CoRR (2024)
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Christopher T. Small,Ivan Vendrov,Esin Durmus, Hadjar Homaei,Elizabeth Barry,Julien Cornebise, Ted Suzman,Deep Ganguli,Colin Megill
CoRR (2023)
CoRR (2023)
arXiv (Cornell University) (2022)
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