Education
- PhD - Northumbria Universtity (2024-2028)
Developing a data-driven deep learning approach to combine ground-based (SuperMAG) and space-based (AMPERE) observations in order
to identify drivers and effects of ionospheric current systems using unsupervised Machine Learning techniques.
Supervised by: Dr. John Coxon and Dr. Andy Smith
- Msc - University of Vienna (2020-2023)
Course: Computational Science
- Bsc - University of Vienna (2015-2019)
Course: Astronomy
- Bsc - University of Derby (2014-2015)
Course: Computer Science
Conferences
- ESSW 2026, Florence
Poster presentation
- UKSWSE IV 2026, Newcastle
Talk
- NAM 2026, Birmingham
Talk
- EGU 2026, Vienna
Poster presentation [abstract]
- Autumn MIST 2025, UK
Poster presentation
- MLHelio 2025, Spain
Poster presentation
- Spring MIST 2025, UK
Poster presentation
Work Experience
- Guest scientist - Austrian Space Weather Office (10/2026 - 03/2027)
- Machine Learning Intern - ESA, EAC (04/2024 - 08/2024)
Developed a prototype using transformer-based models to automatically label image data of astronauts aboard the ISS.
Additionally supported improvements to onboarding and offboarding workflows, contributed to outreach publications, and co-produced two team podcast episodes.
- Science Communicator - Planetarium Wien, VHS (2016 - 2024)
Science communicator for physics and astronomy.
Delivered astronomical presentations at the planetarium for both adult and child audiences.
Led guided tours at the Urania and Kuffner Observatory in Vienna, and conducted hands-on physics workshops for kindergarten children.
- Data Analytics Intern - SAS (04/2021 - 09/2021)
Designed and implemented an AI-based sentiment index leveraging German media and social media data within SAS Viya.
Developed insurance-focused analytics and visualisation demos, and carried out competitive market analysis for SAS Continuous Monitoring solutions.
Public Engagement
- BetweenMissions - Astronomy Podcast (2021 - 2026)
Co-hosted podcast interviewing people in the space industry []
- Orbyts - Project lead (2026)
Co-created and led a semester-long, research-driven science project for school students within Orbyts [Orbyts]
- Das Universum in einer Keksdose - Astronomy Podcast (2021 - 2026)
Co-hosted a podcast with two colleagues on astronomy and cookies, targeting a general audience [keksuniversum]
- Workshop Instructor - VHS (2022 - 2023)
Delivered programming instruction to girls aged 8–14 using Scratch, promoting engagement in coding through interactive game development and robotics activities (WeeeBot).