Curious and fast learner , passionate about uncovering patterns in complex data and understanding the mechanisms that shape the world.
Recently graduated from a Masters in Statistics and Data Science. Next to reparing and riding bikes, I am mostly interested in complex data. I focus on computer vision and Natural Language processing.
| 09/2023 – 07/2025 | MSc Statistics and Data Science | |
| Majors: Statistical Modeling, Applied Data Science, Image Recognition | ||
| Thesis: Exploring Fully Unsupervised Autoencoders for Early Disease Detection | ||
| 10/2019 – 04/2023 | BA Philosophy and Economics | |
| Majors: Econometrics, Philosophy of Economics | ||
| Thesis: Do Social Connections Intensify Migration? A Subnational Analysis of EU Migration |
| 06/2023 – 09/2023 | Research Intern, Kiel Institute for the World Economy | |
| Collected and analyzed data for the Ukrain Support Tracker project | ||
| Publication: Trebesch et al. (2023) | ||
| 04/2022 – 04/2023 | Student Assistant, University of Bayreuth | |
| Professorship for Philosophy, Computer Science and AI | ||
| 01/2022 – 03/2022 | Tech Scout, German-Israeli Chamber of Commerce | |
| Identified emerging tech trends and opportunities in Israeli-German business collaboration |
| Programming | Python (Pandas, NumPy, scikit-learn, PyTorch), R | |
| Tools & Platforms | Git, LaTeX, Microsoft Office | |
| Languages | German (Native), English (Fluent), French (Intermediate) |
| Paper in process | Community First Responder system for cardiac arrests | |
| Project idea and full code for routing simulations | ||
| Datathon Winner | Leuven Statistics Research Centre (2024): AED placement optimization. | |
| Leuven Statistics Research Centre (2025): Utilizing LLMs to compare nations sustainability laws. |
Simulation to identify the minimal amount of comunity first responders in the city of Leuven
Master Thesis: Identifying P.cactorum infected plants with unsupervised methods.
My little personal website to show all my skills