for more info see ORCID, all publications can be found on InspireHEP
Research
Research activities
I am active in the KM3NeT collaboration with focus on Open Science and acting as chair of the Open Science Committee charged with the development of interfaces and procedures for data sharing in KM3NeT. As neutrino lead editor of the VODF initiative and contributor to the High Energy Interest Group in the IVOA my work focuses on the establishment of common data standards and promoting FAIR data sharing. Having previously worked on machine learning in ANTARES, I am currently developing the LLMTuner package which aims to make neutrino data accessible for open science employing large language models, supported by the Emerging Talents Initiative of the FAU. I have previously been employed on various projects in the context of the European Open Science Cloud like the ESCAPE OSSR development and the EVERSE project on research software quality.
CV
Education & Positions
2019 – Present: Postdoctoral researcher in the KM3NeT group at ECAP, involved in the following projects:
2024 – present: EVERSE WP2 Community-led Best Practices for Developing High-Quality Research Software
2023 – 2024: KM3NeT-INFRADEV-2 WP4 Data Management and Open Science
2021 – 2022: EOSC Future
2020 – 2021: ESCAPE WP3 Open Software and Service Repository (OSSR)
2019 – 2020: KM3NeT-INFRADEV WP4 Open Data Access
2019: PhD defense on “Search for a cosmic neutrino flux from all neutrino flavours with ANTARES”
2018: MA Human Rights at FAU Erlangen-Nürnberg on “Counteracting Fake News and Hate Speech as Human Rights Challenge – The German ’Netzwerkdurchsetzungsgesetz’ as a case study”
2010: Diploma Physics at FAU on “Muon Energy Reconstruction for the Neutrino Telescope ANTARES using Neural Networks”
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ORCID