Thomas Dybdahl Ahle

Hello, I'm Thomas. I am an Research Scientist at Meta' Probability group, working on efficient, fair and robust Machine Learning. Pre­vi­ously I 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. I did my PhD thesis with Rasmus Pagh on the Scalable Similarity Search project, and previously I have been at University of Texas at Austin working with Eric Price, and University of Oxford adviced by Oege de Moor and Samson Abramsky.

My research primarily involves the theoretical foundations of machine learning and massive data, including similarity search, high dimensional geometry, kernel methods, sketching and derandomization.

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Games

Teaching

Programming Problems

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

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

Media

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Contact

Coauthors