A Dataset of Meshes of the Aorta for Topological Data Analysis (with D. A. Domanin, S. Trimarchi, M. Domanin and  P. Secchi)

Confidence Sets of Reeb Graphs with the Interleaving Distance (with M. Carriere and A. Conforti)

Comparing Functional Topological Summaries on Point Processes (with Y. Bleile, A. M. Svane, C. A. N. Biscio, L. Fajstrup)

Persistence Spheres: Parametrizations and Limit Theorems (with N. Chenavier, C. A. N. Biscio, N. R. Franco)

Persistence Spheres: Stable Linear Representations of Persistence Diagrams via Bi-Continuous Linear Operators  [arXiv:2509:16999]

Predicting ionic conductivity of glassy solid-state electrolytes using max-flow methodology (with A. R. Lindbjerg, R. Christensen, S. S. Sørensen, T. Du, Y. Bleile, A. M. Svane, C. A. N. Biscio, L. Fajstrup, M. M. Smedskjaer) [Submitted - no preprints available online]

Max-Flow for Data with Periodic Boundary Conditions (with L. Fajsturp, S. Oudot, M. Carriere) [OUTDATED arXiv:2312.04357]

A Persistence-Driven Edit Distance for Graphs with Abstract Weights,  [arXiv:2304.12088]

Functional Data Representation with Merge Trees (with P. Secchi),  [arXiv:2108.13147 ]

A Finitely Stable Edit distance for Functions Defined on Merge Trees,  [arXiv:2108.13108 ]

A Finitely Stable Edit distance for Merge Trees, (2025) AIMS Mathematics, 10(7): 17179-17231  [link, arXiv:2111.02738]

A Graph-Matching Formulation of the Interleaving Distance between Merge Trees,  (2025) AIMS Mathematics, 10(6): 13025–13081 [link, arXiv:2111.15531]

Persistence Diagrams for exploring the shape variability of abdominal aortic aneurysms (with D. A. Domanin, S. Trimarchi, M. Domanin and  P. Secchi), (2024) Scientific Reports, 14, 28132  [link, arXiv:2402.07966]

Wasserstein Distributional Data Analysis on the Circle (with M. Beraha), (2024) Statistics and Computing [link, arXiv:2304.02402]

Imaging-based representation and stratification of intra-tumor Heterogeneity via tree-edit distance (with L. Cavinato, A. Ragni and F. Ieva), (2022) Scientific Reports, 12 (1), (22540) [link,  arXiv:2208.04829]

Projected Statistical Methods for Distributional Data on the Real Line with the Wasserstein Metric (with M. Beraha ), (2022) Journal of Machine Learning Research, 23 (37) [link, arXiv:2101.09039 ]

Spatially dependent mixture models via the Logistic Multivariate CAR prior (with M. Beraha, R. Peli and A. Guglielmi), (2021) Spatial Statistics, 46, Article 100548 [link, arXiv:2007.14961] 

Topological Data Analysis applied to radiomics (topiomics) data in Recurrent Prostate Cancer (with L. cavinato, L. Ferrara, P. A. Erba, M. Sollini, F. Ieva) [SIS 2024]

Functional Data Representation with Merge Trees (with P. Secchi), [ IFCS2021] 

Fast PCA in 1-D Wasserstein spaces via B-splines representation and metric projection (with M. Beraha) [AAAI2021 ]

A transdimensional MCMC sampler for spatially dependent mixture models (with A. Guglielmi, M. Beraha, M. Giannella, R. Peli) [CLADAG 2021]

A Bayesian approach for modelling dependence among mixture densities (with M. Beraha, R. Peli and A. Guglielmi)  [SIS 2020]

Data Analysis with Merge Trees (2023, Università di Bologna, PhD Program:"Data Science and Computation")

Geometric Data Analysis, Between Equivalence Classes and non-Euclidean Spaces (2021, Politecnico di Milano, PhD Program:"Mathematical Models and Methods in Engineering")