Finding structure in high-dimensional noise.

I started my PhD in November 2022, advised by Raf Van de Plas.

My work sits at the intersection of machine learning, high-dimensional statistics, and random matrix theory.

My research seeks to understand when latent structure can be recovered from complex and noisy data, how sharp transitions separate learnable from non-learnable regimes, and how these theoretical insights can guide the design of effective inference and generative-learning methods.