cv | James Kahn

2016 - 2019
Ph.D. Physics

Ludwig-Maximilians-Universität, Munich, Germany
- Hadronic Tag Sensitivity Study of \(\mathbf{B \rightarrow K^{(*)} \nu \bar{\nu}}\) and Selective Background Monte Carlo Simulation at Belle II
2013 - 2015
Master of Science (Physics)

The University of Melbourne, Melbourne, Australia
- Investigations of \(\mathbf{B^0 \rightarrow K_S^0 \pi^0}\) decays with the Belle experiment
2010 - 2012
Bachelor of Science

The University of Melbourne, Melbourne, Australia
- Major in Physics

2020 - present
Senior AI Consultant

Helmholtz AI, Germany
- AI consultant for energy researcher clients, leading & supporting role for research projects within the Helmholtz association to accelerate research outcomes with AI expertise & HPC resources.
2019 - 2020
Postdoctoral fellow

Karlsruhe Institute of Technology, Germany
- Dual position working as
  - Belle~II liaison and operations support for GridKa Tier-1 site
  - Machine-learning researcher and supervisor for local Belle~II physics team.
2011 - 2013
Research computing assistant

ARC Centre of Excellence for Particle Physics at the Terascale (CoEPP), Melbourne, Australia
- Designed and implemented cloud-hosted batch queue system (Tier-3) used by Australian physics researchers working on the ATLAS and Belle experiments.
- Experience with Linux systems administration (RHEL, SL, Debian), automated configuration (Puppet, CFEngine), monitoring (Ganglia, Nagios), network administration (DHCP, Kerberos), and job automation (Torque)

Deep learning
- Computer vision
- Self-supervised learning
- Graph neural networks
Computing
- Grid computing
- HPC systems