Thomas Kehrenberg

Thomas M. Kehrenberg is a machine learning researcher currently based at the Basque Center for Applied Mathematics (BCAMATH) in Bilbao, Spain, where he works as a researcher in machine learning. He completed his PhD at the University of Sussex in 2021 with a thesis titled "Learning with biased data: invariant representations and target labels," and subsequently held a visiting research fellowship there. His primary academic research focuses on fairness and bias mitigation in machine learning, including adversarial support-matching and null-sampling techniques for interpretable and fair representations, with publications at venues such as ECCV and TMLR. In 2022, he received a grant from the Long-Term Future Fund (LTFF) for a six-month self-study period to build background knowledge for AI alignment research, during which he studied topics including VNM rationality, type theory, and topology. He subsequently wrote a post on LessWrong sharing advice for others undertaking similar alignment self-study, and has also published on the Alignment Forum exploring finite factored sets.

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