I am a postdoctoral fellow at Ghent University. My main interest is in the signal processing and mathematics underlying machine learning and theoretical neuroscience. My work centers on EEG and brain oscillations, where I develop methods to study auditory cognition and continuous mind states. With a background in biomedical engineering and data science, I focus on advancing analytical tools that connect brain signals with computation and theory.
The fall of vectors-my youtube channel
In this channel, I teach the core concepts of machine learning, signal processing, linear algebra, probability, information theory… and yes, a little bit of noise. This is just the beginning, and more content is coming soon. You can find the PDF of the lectures here on Overleaf. In the future, I plan to add a full Jupyter Book version for interactive learning. Inspired by The Fall by Albert Camus, the channel reflects a curiosity about how vectors—the building blocks of ML “fall” into patterns, signals, and representations, revealing the hidden structure in data....