Aritra Bal

Doctoral Researcher at the Karlsruhe Institute of Technology, KIT in Germany since August 2022.

I am a physicist working at the intersection of Machine Learning and Experimental High Energy Physics (HEP), developing cutting-edge techniques to uncover new physics beyond the Standard Model. My research focuses on anomaly detection and unsupervised learning to identify rare signals in collider data. Since 2024, I also work on the development of quantum machine learning algorithms, and novel techniques for efficient HEP data encoding onto qubits, to boost anomaly detection and classification performance.

On this page, you can see a display of an event recorded at the CMS Detector during Run 2 (2016-18) of the LHC, which we identified as highly anomalous, using a machine learning architecture known as a Variational Autoencoder (VAE). You can read more about what we did here, or watch a short explanation here. For finer details on the Physics/Machine Learning aspects, go to Publications.