Raghav Kansal

Raghav Kansal

PhD Candidate in Particle Physics and Machine Learning

University of California, San Diego

Fermilab

Hi, I’m a high energy physics (HEP) PhD candidate at UCSD (Duarte Lab), on the CMS experiment at the Large Hadron Collider at CERN, and 2023 Fermilab LPC Graduate Scholar.

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I’m developing deep generative models for LHC simulations (MPGAN); I was awarded the Fermilab Artificial Intelligence Fellowship in 2021 to implement these for CMS.

I’m also searching for double-Higgs events and new particles, which involves developing a geometric deep learning classifier for Higgs to WW jets.

Finally, I have a number of computational side projects I work and mentor students on, including equivariant neural networks, explainable AI, and the JetNet package for ML in HEP.

Last updated: 10th September 2023

Can you figure out what connects the backgrounds?

Interests
  • Higgs Measurements
  • Generative Modelling / Fast Simulations
  • Physics-informed and Equivariant ML
Education
  • PhD in Physics, 2019 -

    University of California, San Diego, 3.97/4.00

  • BSc in Physics and Computer Engineering, 2019

    University of California, San Diego
    summa cum laude, 3.98/4.00