Thomas Dybdahl Ahle

Hello, I'm Thomas. I lead the Foundational AI efforts at Normal Computing.

My research focuses on mechanistic interpretability and capabilities of large language models, the theoretical foundations of machine learning and massive data, including similarity search, hashing, high dimensional geometry, sketching and derandomization.

Research Resume Games Blog

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Research

Resume

Previously I ran Meta's "Mach­ine Lear­ning Efficiency" group, was the Chief of Machine Learning at the Natural Language Processing startup, SupWiz, and a Postdoctoral researcher in Theoretical Computer Sci­ence at the Basic Algorithms Research group (BARC) in Copenhagen with Mikkel Thorup. I did my PhD thesis with Rasmus Pagh on the Scalable Similarity Search project. Previous I worked with Oege de Moor and Samson Abramsky at the University of Oxford on Computational Ling­uistics; and with Eric Price at the University of Texas, Austin, on the fundamental limits of data-limited computation.

Media

Games

Programming Problems

These are various algorithmic challenges I set on the Sphere online judge.

POWTOW, TRANSFER, REALROOT, NANO, WAYHOME, VFRIENDS, VFRIEND2

Teaching

Other

Contact

Coauthors