Academic Bio

I’m a final year PhD student at ENS Paris under the supervision of Laurent Massoulié. My research is carried out at INRIA Paris, as part of the wonderful ARGO team, and I’m financed by PRAIRIE Institute. My work is on NP-hard problems in statistical average-case settings, especially the Graph Alignment Problem for Geometric and Erdös-Rényi graphs. Currently, I’m most curious about fake-news detection, GNNs for Material Science, protein folding, and closing the computation-information gap in gaussian point cloud alignment. Before my PhD, I did a Master’s in Statistics and Machine Learning at Ecole Polytechnique and Université Paris-Saclay. Even before, I was a Bachelor’s student at TUM with a semester at Northwestern.

Publications

Asymmetric graph alignment and the phase transition for asymmetric tree correlation testing

with Laurent Massoulié
Under review (2025)

Aligning Embeddings and Geometric Random Graphs

with Mathieu Even, Luca Ganassali and Laurent Massoulié
Published at NeurIPS 2024

Asymmetric tree correlation testing for graph alignment

with Laurent Massoulié
Published at IEEE ITW 2023

On non-linear operators for geometric deep learning

with Grégoire Sergeant-Perthuis, Edouard Oyallon and Joan Bruna
Published at NeurIPS 2022

PhD in Applied Statistics

Passionate about geometric data and machine learning applications.

Public Speaker

Jakob’s research explores innovative solutions in machine learning.