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Welcome!

I am an experimental particle physicist, specializing in machine learning applications and data analysis of proton-proton collision data of the Large Hadron Collider at CERN.

Currently, my research is targeted at (Run 3) data analysis with the ATLAS experiment (top quark physics (cross section, charge / energy asymmetry) and exotics (ALPs+tops with calorimeter jets)) and R&D of the High Granularity Timing Detector (HGTD) for HL-LHC / Run 4 with a special interest in database development and design / testing of Flex Tails (flexible PCBs).

I enjoy building highly performant and reliable analysis software with comprehensive documentation, as well as user interfaces that my collaborators enjoy. Further, I am a strong advocate of consistency, automation and optimization.

Recent Highlights

hgtd-tools

Abstract

Results from pre-production of HGTD parts and their implementation in the Production Database along with the novel user interfaces, especially in "hgtd-tools", are presented.

Contribution: Prepared the software to upload and analyse production data for module assembly, module loading and detector assembly. Calculated / optimized the flex tail categories, setup the monitoring dashboard, reporting, gitlab CI pipeline, invented the algorithms for hybrid clustering and developed the python API client including CLI and GUI.

TopCPToolkit

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Abstract

TopCPToolkit is an ntuple production framework for analysing data from LHC Run 2 and Run 3. It is built around common CP and analysis algorithms in release 25 of the central athena software framework of the ATLAS Collaboration.

Contribution: Development and maintenance of software, user support, tutorials as part of top reconstruction convener role, including core team coordination.

Further Navigation / Overview