Scholar
Tommaso d'Orsi
Google Scholar ID: OL6EahoAAAAJ
Bocconi
Citations & Impact
Citations
201
H-index
8
i10-index
8
Publications
19
Co-authors
8
list available
Contact
No contact links provided.
Publications
Resume (English only)
Academic Achievements
- Recent & Representative Papers:
- - Tight Differentially Private PCA via Matrix Coherence (with Gleb Novikov, SODA 2026)
- - Sparsest cut and eigenvalue multiplicities on low degree Abelian Cayley graphs (with Chris Jones, Jake Ruotolo, Salil Vadhan, and Jiyu Zhang, APPROX 2025)
- - Private graphon estimation via sum-of-squares (with Hongjie Chen, Jingqiu Ding, Yiding Hua, Chih-Hung Liu, and David Steurer, STOC 2024)
- - Private estimation algorithms for stochastic block models and mixture models (with Hongjie Chen, Vincent Cohen-Addad, Alessandro Epasto, Jacob Imola, David Steurer, and Stefan Tiegel, NeurIPS 2023 (spotlight))
- - Higher degree sum-of-squares relaxations robust against oblivious outliers (with Rajai Nasser, Gleb Novikov, and David Steurer, SODA 2023)
- - Fast algorithm for overcomplete order-3 tensor decomposition (with Jingqiu Ding, Chih-Hung Liu, David Steurer, and Stefan Tiegel, COLT 2022)
- - Robust Recovery for Stochastic Block Models (with Jingqiu Ding, Rajai Nasser, and David Steurer, FOCS 2021)
- - Sparse PCA: Algorithms, Adversarial Perturbations and Certificates (with Pravesh Kothari, Gleb Novikov, and David Steurer, FOCS 2020)
Research Experience
- Currently an Assistant Professor in Computing Sciences at Bocconi. Recent & Upcoming Events:
- - [Sep. 2025] Theory Seminar, Rutgers
- - [Sep. 2025] Workshop on Combinatorial Optimization, Cargese
- - [Apr. 2025] Charles River Symposium on Privacy, Harvard
- - [Mar. 2025] Theory Seminar, University of Milan
- - [Oct. 2024] LucaFest, Simons Institute, Berkeley
- - [Sep. 2024] Google Research
Background
- Research Interests include Semidefinite Programming, Spectral Methods, Random Matrices, Robust Statistics, High Dimensional Statistics, Differential Privacy, and Augmented-Learning.
