James Kahn

prof_pic_KA.jpg

Senior AI consultant @ Helmholtz AI

Welcome to my page! This is a collection of my works.

I’m an ex-particle physicist from Australia Australia who’s now an applied AI practitioner for future energy systems,

This means I work on applying machine learning to real world problems beyond the standard benchmarks.

Day-to-day I work primarily with:

Python PyTorch NumPy Git

Check out the contact links below for how to reach me.

selected publications

  1. Punzi-Loss: - a Non-Differentiable Metric Approximation for Sensitivity Optimisation in the Search for New Particles
    F. Abudinén, M. Bertemes, S. Bilokin, and 43 more authors
    The European Physical Journal C Feb 2022
    DOI Code
  2. Learning Tree Structures from Leaves for Particle Decay Reconstruction
    James Kahn, Ilias Tsaklidis, Oskar Taubert, and 8 more authors
    Machine Learning: Science and Technology Sep 2022
    DOI Code Dataset
  3. Deep Learning Approaches to Building Rooftop Thermal Bridge Detection from Aerial Images
    Zoe Mayer, James Kahn, Yu Hou, and 3 more authors
    Automation in Construction Feb 2023
    DOI Code Dataset