I’m a PostDoc in theoretical neuroscience at McGill/Mila with Blake Richards. Before that, I did my PhD in theoretical neuroscience with Peter E. Latham at Gatsby Computational Neuroscience Unit (UCL, London).

I work on biologically plausible learning in deep networks (NeurIPS 2020 work on 3-factor Hebbian learning rules for deep nets; NeurIPS 2021 on plausibility of convolutional networks; ICLR 2024 spotlight and 2024 bioRxiv preprint on the link between synaptic weight geometry and weight distributions). I also work on representation learning using kernel methods. Here are my works on self-supervised learning (NeurIPS 2021) and measures of conditional dependence (CIRCE: notable-top-5% at ICLR 2023; SplitKCI: pre-print).

Email: name.surname@mila.quebec

CV, Google Scholar