cv

Current

PhD in Informatics at University of Edinburgh, 2023-present
Supervised by Dr. Oisin Mac Aodha, my research focus is machine learning and computer vision applications for human learning.

Experience

Machine Learning Engineer at Pieces, 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.
Blog posts: How we made our optical character recognition (OCR) code more accurate | Exploring text segmentation in retrieval-augmented generation (RAG)

Education

MSc in Biomedical AI at School of Informatics, University of Edinburgh, 2023-2024
Dissertation: “Teaching Visual Knowledge via Interpretable Concepts”
Supervisors: Dr. Oisin Mac Aodha and Dr. Tom MacGillivray
Thesis

MSc in Data Science at School of Informatics, University of Edinburgh, 2019-2020
Dissertation: “CM Flows - Copula Density Estimation with Normalizing Flows”
Supervisor: Dr. Arno Onken
Thesis | Code

MSc in Quantitative Economics at Faculty of Economics, Ludwig Maximilian University of Munich, 2019-2020
Dissertation: “Machine Learning for Causal Discovery with Applications in Economics” Advisor: Prof. Dr. Helmut Farbmacher
Supervisor: Prof. Dr. Joachim Winter
Thesis | Code

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 Project Submission 2019/20 - School of Informatics, University of Edinburgh