Hi!
This is my personal website and blog. I am a researcher working at CERN, applying deep learning models to neutrino experiments. I am particularly interested in incorporating structure and physical inductive bias into models, tackling the simulation-data bias in particle physics and large attention based networks.
News
- Check out our proceedings (2404.00180) on stochastic differentiable simulation for neutrino physics!
- Pablo Barham is showing a poster on our work for differentiable simulation for low energy neutrino physics.
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Posted on:November 2023 atPresented "Can Contrastive Learning de-bias my Model" at the AI and the Uncertainty Challenge Workshop in Paris.
- Presented our work on Self-Supervised Learning for Neutrino Expirements at NPML 2023.
- Attended the 8th Machine Learning in High Energy Physics Summer School.
- Gave a presentation on extrapolating between the near and far detector with an unsupervised image translation model at the DUNE collaboration meeting.
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Recent Posts
LXPLUS Passwordless Kerberos for VSCode (+ Windows)
Posted on:May 2023 atHow to set up passwordless kerberos authentication for VSCode on the LXPLUS service at CERN.