Dr Knut ZOCH
Post-doctorant, Feodor Lynen Research Fellow – Groupe ATLAS
Knut is a postdoc in the group of Prof. Tobias Golling at the Particle Physics Department (DPNC). He is a member of the RODEM project (Robust Deep Density Models for High-Energy Physics and Solar Physics), a member and qualified author of the ATLAS Collaboration at CERN, and a Feodor Lynen research fellow of the Alexander-von-Humboldt foundation.
Knut graduated from the Univ. of Göttingen, Germany, with an MSc in Physics in 2016 and a PhD in Experimental Particle Physics in 2020. During his PhD studies, his research was centred around the physics of the heaviest elementary particle, the top quark, which he studied in various contexts (e.g. event reconstruction of top quark topologies, associated production with photons). At the Univ. of Geneva and within the RODEM project, his research focus is on anomaly detection in LHC data. With the ultimate goal to maximise the sensitivity of LHC data to new physics, he bridges the gap between phenomenological studies of state-of-the-art machine learning methods and the analysis of data taken with the ATLAS experiment. His interests lie in anomaly detection in large-radius jets, specifically in unsupervised and weakly supervised approaches. He also continues to work for top-quark related analyses in the ATLAS Collaboration, e.g., on a measurement of the tt+charm cross-section.
- Since Nov 2021: machine learning liaison for the ATLAS top WG.
- Since Sep 2021: Feodor Lynen research fellowship of the Alexander-von-Humboldt foundation.
- Since Aug 2021: coordinator for Online Data Quality activities in the ATLAS Collaboration.
- Since Feb 2021: measurement of the tt+charm cross-section with the ATLAS experiment: analysis design/discussion, analysis contact, supervision.
- Since Jan 2021: anomaly detection in large-radius jets with state-of-the-art machine learning: analysis design, phenomenology studies, sample generation, supervision.
- Since Jan 2021: member of the RODEM project (Robust Deep Density Models for High-Energy Physics and Solar Physics).
- 2017–2020: measurement of the tt+photon cross-section with the ATLAS experiment.
- Since 2017: ttbar event reconstruction with traditional and machine learning methods: contact for the KLFitter software, design/discussion of ML models, supervision.
- 2017–2020: doctoral scholarship of the German Academic Scholarship Foundation (Studienstiftung des Deutschen Volkes).
- Since 2015: member of the ATLAS Collaboration at CERN; since 2017: qualified author.
Full and up-to-date lists of Knut's publications are available on:
Statistical methods in physics (Univ. of Geneva, autumn 2021)
Machine Learning and Artificial Intelligence (summer schools of the German Academic Scholarship Foundation, Cambridge (UK) 2019 & Koppelsberg (D) 2021)
Top Quark Physics (Univ. of Göttingen, 2020)
Advanced Statistical Methods in Data Analysis: Machine Learning (Univ. of Göttingen, 2019)
Introduction to Nuclear and Particle Physics (Univ. of Göttingen, 2016 & 2018)