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Education

PhD in Informatics University of Edinburgh, 2023-present
Research focus: Machine learning and computer vision applications for human learning.

MSc in Biomedical AI School of Informatics, University of Edinburgh, 2023-2024
Dissertation: “Teaching Visual Knowledge via Interpretable Concepts”

MSc in Data Science
School of Informatics, University of Edinburgh, 2019-2020
Dissertation: “CM Flows - Copula Density Estimation with Normalizing Flows”

MSc in Quantitative Economics
Faculty of Economics, Ludwig Maximilian University of Munich, 2019-2020
Dissertation: “Machine Learning for Causal Discovery with Applications in Economics”

Experience

Machine Learning Engineer
Pieces for Developers, 2021-2024

• Designed and implemented ML software to enrich file fragments with metadata
• Focused on NLP on source code, search & recommendation, and ML on local devices
• Worked with C++, machine learning algorithms, and PyTorch

Demonstrator Machine Learning Practical & Applied Machine Learning University of Edinburgh, 2020, 2024 & 2025

Research Assistant
LMU Munich, 2018-2021

Intern - Data Journalism
SPIEGEL ONLINE, 2018

• Wikipedia
• weather phenomena

Intern
German Council of Economic Experts, 2018

Awards & Honors

• MSc Quantitative Economics Class Prize (2021) - Munich Economists Alumni Club
• Outstanding Project Submission (2019/20) - School of Informatics, University of Edinburgh
• Best of Class 2020 Prize - University of Edinburgh