Paul-Louis Delacour

Paul-Louis Delacour

High dimensional learning

Solid phase Liquid phase

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. I’m interested in using mathematics to understand — and improve — how machine learning behaves on high-dimensional, real-world signals.

Education

  • Ph.d in machine learning, TU Delft, 2022-
  • MSc. in Data Science, ETH , 2019-2022
  • BSc. in Communication Systems, EPFL, 2016-2019

Publications

• Signal Strength Aware Latent Spaces Reveal Molecularly Distinct Substructures within Human Kidney Tissue

Delacour, Migas, Farrow, Yang, Fogo, Spraggins, Van de Plas — Preprint, 2026

arXiv code PDF

• Signal Recovery Using a Spiked Mixture Model

Delacour, Wahls, Spraggins, Migas, Van de Plas — IEEE Transactions on Signal Processing, 2025

arXiv Publication PDF

Contact

I like getting email. If you want to talk about something I do, send me an email