About Me
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.
Education
- Ph.d in machine learning, TU Delft, 2022-
- MSc. in Data Science, ETH , 2019-2022
- BSc. in Communication Systems, EPFL, 2016-2019
Publications
• Phase Transition of Eigenvalues of Covariances from the Spiked Mixture Model in High-dimensional Regimes
Contact
I like getting email. If you want to talk about something I do, send me an email