Orlando Marigliano

Orlando Marigliano

Postdoctoral researcher in quantum mobility at Chalmers, Gothenburg

Research

I am working in Quantum Computing for Future Mobility Solutions, a research project at Chalmers University of Technology. The project aims to develop quantum algorithms for transportation-related optimization problems. My position is shared between the Automatic Control Group (Dept. of Electrical Engineering) and the Department of Applied Mathematics and Statistics. I'm also working closely with the Data Science and AI/Software Engineering Group and the Applied Quantum Physics group. My closest supervisor is Balázs Adam Kulcsár. [bak]

I'm also interested in the connections between algebraic geometry and the fields of statistics, data science, and the natural sciences. I recently completed a MSCA Postdoctoral Fellowship on these topics, supervised by Eva Riccomagno at University of Genoa. [msca, er] Before that, I worked in Kathlén Kohn's applied algebraic geometry group at KTH Stockholm and Bernd Sturmfels' nonlinear algebra group at MPI-MiS Leipzig. [kk, bs]

Main topics I'm working on: combinatorial optimization, mixed-integer linear programming, applied quantum computing, electric vehicle routing problem.

Other topics I'm interested in: Algebraic statistical models, non-exponential families, the maximum likelihood degree, algebraic vision, algebraic sensitivity, random geometry and topology, singular learning theory, linear spaces of symmetric matrices, loss landscapes, staged trees, Bayesian networks, polynomial neural networks, the Wasserstein distance.

Publications & Preprints

RSS feed

  1. Orlando Marigliano and Eva Riccomagno. Markov combinations of discrete statistical models. ArXiv:2509.18983, 2025. [link, pdf]
  2. Marvin Anas Hahn, Kathlén Kohn, Orlando Marigliano, and Tomas Pajdla. Order-One Rolling Shutter Cameras. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2025), 27007–27016. Highlight. [link, open, pdf, code]
  3. Carlos Améndola, Lukas Gustafsson, Kathlén Kohn, Orlando Marigliano, and Anna Seigal. Differential equations for Gaussian statistical models with rational maximum likelihood estimator. SIAM Journal on Applied Algebra and Geometry 8 (2024), 465–492.
    [link, pdf]
  4. Arthur Bik and Orlando Marigliano. Classifying one-dimensional discrete models with maximum likelihood degree one. Advances in Applied Mathematics 170 (2025), 102928. [link, pdf, license]
  5. Isobel Davies and Orlando Marigliano. Coloured graphical models and their symmetries. Le Matematiche 76 (2021), 501–515. [link, pdf, code]
  6. Carlos Améndola, Lukas Gustafsson, Kathlén Kohn, Orlando Marigliano and Anna Seigal. The maximum likelihood degree of linear spaces of symmetric matrices. Le Matematiche 76 (2021), 535–557. [link, pdf]
  7. Christiane Görgen, Manuele Leonelli and Orlando Marigliano. The curved exponential family of a staged tree. Electronic Journal of Statistics 16 (2022), 2607–2620. [link, pdf]
  8. Leonie Selk, Charles Tillier and Orlando Marigliano. Multivariate boundary regression models. Scandinavian Journal of Statistics 49 (2022), 400–426. [link, pdf]
  9. Jane Ivy Coons, Orlando Marigliano and Michael Ruddy. Maximum likelihood degree of the two-dimensional linear Gaussian covariance model. Algebraic Statistics 11 (2020), 107–123. [link, pdf]
  10. Carlos Guerra, Manuel Delgado Baquerizo, Eliana Duarte, Orlando Marigliano, Christiane Görgen, Fernando Maestre and Nico Eisenhauer. Global projections of the soil microbiome in the Anthropocene. Global Ecology and Biogeography 30 (2021), 987–999. [link, pdf]
  11. Eliana Duarte, Orlando Marigliano and Bernd Sturmfels. Discrete statistical models with rational maximum likelihood estimator. Bernoulli 27 (2021), 135–154. [link, pdf]
  12. Paul Breiding and Orlando Marigliano. Random points on an algebraic manifold. SIAM Journal on Mathematics of Data Science 2 (2020), 683–704. [link, pdf]
  13. Orlando Marigliano. Verlinde bundles of families of hypersurfaces and their jumping lines. Beiträge zur Algebra und Geometrie 60 (2019), 437–444. [link, pdf]

Other writing

  1. The algebraic statistics of sampling, likelihood, and regression. PhD thesis. [pdf]
  2. Verlinde bundles of families of hypersurfaces. Master's thesis. [pdf, poster].
  3. Counting covers of elliptic curves. Bachelor's thesis. [pdf]

Coauthors

Carlos Améndola, Arthur Bik, Paul Breiding, Jane Ivy Coons, Isobel Davies, Eliana Duarte, Christiane Görgen, Carlos Guerra, Lukas Gustafsson, Marvin Anas Hahn, Kathlén Kohn, Manuele Leonelli, Tomas Pajdla, Eva Riccomagno, Leonie Selk, Anna Seigal, Bernd Sturmfels, Michael Ruddy, Charles Tillier.

Teaching

2022: Commutative Algebra and Algebraic Geometry. Master's course. [notes, link]

2021: The Maximum Likelihood Degree. PhD course. [link]

Misc

I co-edited a Le Matematiche special issue on linear spaces of symmetric matrices. [link]

Short CV

2025-current: Postdoctoral researcher, Chalmers University of Technology, Gothenburg.

2023-2025: Marie Skłodowska-Curie Postdoctoral Fellow, University of Genoa.

2020-2023: Postdoctoral researcher, KTH Royal Institute of Technology, Stockholm.

2018–2020: Ph.D. student, Max Planck Institute for Mathematics in the Sciences, Leipzig.

2012–2018: Bachelor's and Master's student, University of Bonn.

Contact

By email: math at orlandomarigliano.com