I’m a Computer Science student at RWTH Aachen University, currently completing my Master’s. I’m interested in Machine Learning, Quantitative Finance, and Neuroscience, especially enjoying problems that require both creative and technical problem-solving.
Parallel to my studies, I have worked at Forschungszentrum Jülich as a Student Research Assistant, improving the optimization framework L2L for large-scale simulations of spiking neural networks. Before that, I worked at Postera Capital as a Quantitative Research Analyst, where I developed predictive pricing models for cryptocurrency assets. I built an ML pipeline for time-series forecasting, which later became a key part of my work there.
For my Bachelor’s thesis at RWTH, I worked with Prof. Borchers and Dr. Hueber on User-Perspective Rendering for Augmented Reality. I explored how facial tracking can be used to enhance immersion in AR through novel rendering techniques.
On this blog, you’ll find posts about some of my projects and thoughts on ML, algorithmic trading, and whatever else I find interesting. The goal is to document my work, organize my thoughts, and share ideas.
Projects:
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Non-Uniform Time Resolution for Improved Bitcoin Time Series Predictions
In the first part of this series, I discussed different preprocessing techniques for Bitcoin financial data. We built labeled pricing… more
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Combining user- and device-perspective rendering for intuitive handheld AR – Bachelor Thesis
This page provides a brief, high-level overview of my Bachelor Thesis written at RWTH Aachen. While this page focuses on… more
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Comparing Preprocessing Approaches for Bitcoin Time Series Prediction
This article is the first part of a series on time-series forecasting for cryptocurrency financial data. This article focuses on… more