Seth Nabarro

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I am a machine learning PhD student at Imperial College London, supervised by Mark van der Wilk and Andrew Davison.

I studied physics at Imperial for my undergrad degree, followed by a master’s degree in computational statistics and machine learning at University College London. Before starting my PhD I was a research engineer at Graphcore, looking at hardware acceleration of probabilistic machine learning.

Among other things I am interested in Bayesian deep learning, Bayesian model selection, local and distributed learning methods, generative modelling.

news

Jan 05, 2025 Did an internship at Google DeepMind in Zürich August to December 2024!
Aug 01, 2024 Presented Learning in Deep Factor Graphs with Gaussian Belief Propagation at ICML in Vienna.
Nov 07, 2023 Presented some recent papers on forward gradients (Baydin et al., 2022, Ren et al., 2023) at reading group (slides).
Jun 30, 2023 Won Best Poster for Learning in deep factor graphs with Gaussian belief propagation at the Imperial College Computing Summer Conference, 2023.
May 26, 2023 I was chosen as a Top Reviewer for UAI 2023.