Luca Ganassali

Luca Ganassali is an Assistant Professor in the Department of Mathematics at Université Paris-Saclay and a member of the Inria Celeste team. Previously, he was a postdoctoral researcher at EPFL (BAN Chair) and completed his PhD at Inria Paris under Laurent Massoulié and Marc Lelarge. His research focuses on algorithmic fairness, optimal transport in statistical learning, statistical inference in graphs and matrices, and informational computational thresholds for random instances.

Education: PhD in Computer Science from Inria Paris (2022), postdoctoral studies at EPFL (2022). Research interests include causal discovery, graph alignment, and the intersection of machine learning with mathematical statistics. He actively collaborates on projects like the PhD offer on handling unfairness in data through mathematical and machine learning approaches.

His work bridges theoretical computer science with applied statistics, addressing challenges in alignment of graph databases, detection of correlations in tree structures, and developing efficient algorithms for sparse graph alignment. Recent contributions include foundational results on Gaussian-weighted graph alignment thresholds and impossibility results in partial graph recovery.

Lab affiliations: Inria Celeste team. Advising: Currently seeking a PhD student for a project on mathematical statistics and machine learning.