cv

Current

PhD in Informatics at University of Edinburgh, 2024-present
Supervised by Dr. Oisin Mac Aodha, my research focus is machine learning and computer vision applications supporting human learning.

Experience

Machine Learning Engineer at Pieces, 2021-2024
Designed and implemented ML software to enrich context across software developer workflows, implementing an accurate local OCR and fast vector search framework. Worked with Python, Dart, C++, OpenCV, ONNX.

Education

MSc in Biomedical AI at School of Informatics, University of Edinburgh, 2023-2024

MSc in Data Science at School of Informatics, University of Edinburgh, 2019-2020

MSc in Quantitative Economics at Faculty of Economics, Ludwig Maximilian University of Munich, 2019-2020

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BSc in Economics at Faculty of Economics, Humboldt University Berlin, 2014-2017
Dissertation: “Campaign Efforts and Electoral Success - Evidence from the UK General Election”
Supervisor: Prof. Dr. Jochen Kluve

Awards & Honors

Best of Class 2020 - School of Informatics, University of Edinburgh
Best of Class 2021 - Faculty of Economics, LMU
Outstanding Thesis Submission 2019/20 - School of Informatics, University of Edinburgh

Teaching & Internships

Demonstrator in Applied Machine Learning & Machine Learning Practical
School of Informatics, University of Edinburgh, 2020 & 2024 - 2026

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Data Journalism Intern, Der Spiegel, 2018

Intern at German Council of Economic Experts, 2018