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Current

PhD in Informatics at University of Edinburgh, 2023-present
Supervisor: Oisin Mac Aodha Research focus: 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.

Education

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

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

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”

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

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