Orlando Marigliano

Orlando Marigliano

Algebraic statistics, applied algebraic geometry at KTH Stockholm


I am interested in the connections between algebraic geometry and the fields of statistics, data science, and the natural sciences. I am a postdoctoral researcher at Math Data Lab working with Kathlén Kohn. [mdl, kk]

Main topics I'm working on: Discrete and Gaussian algebraic statistical models with maximum likelihood degree one, algebraic camera models.

Other topics I'm interested in: random geometry and topology, singular learning theory, linear spaces of symmetric matrices, loss landscapes, staged trees, Bayesian networks, polynomial neural networks, the Wasserstein distance.

I co-edited a Le Matematiche special issue on linear spaces of symmetric matrices. [link] I am teaching a course on the ML degree in Fall 2021. [link]

Publications & Preprints

RSS feed

  1. Isobel Davies and Orlando Marigliano. Coloured graphical models and their symmetries. Le Matematiche 76 (2021), 501–515. [link, pdf]
  2. 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]
  3. Christiane Görgen, Manuele Leonelli and Orlando Marigliano. The curved exponential family of a staged tree. ArXiv:2010.15515, 2020. [link, pdf]
  4. Leonie Selk, Charles Tillier and Orlando Marigliano. Multivariate boundary regression models. Scandinavian Journal of Statistics (2021, to appear). [link, pdf]
  5. 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]
  6. 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]
  7. Eliana Duarte, Orlando Marigliano and Bernd Sturmfels. Discrete statistical models with rational maximum likelihood estimator. Bernoulli 27 (2021), 135–154. [link, pdf]
  8. Paul Breiding and Orlando Marigliano. Random points on an algebraic manifold. SIAM Journal on Mathematics of Data Science 2 (2020), 683–704. [link, pdf]
  9. Orlando Marigliano. Verlinde bundles of families of hypersurfaces and their jumping lines. Beiträge zur Algebra und Geometrie 60 (2019), 437–444. [link, pdf (v2)]

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]


Carlos Améndola, Paul Breiding, Jane Ivy Coons, Isobel Davies, Eliana Duarte, Christiane Görgen, Carlos Guerra, Lukas Gustafsson, Kathlén Kohn, Manuele Leonelli, Leonie Selk, Anna Seigal, Bernd Sturmfels, Michael Ruddy, Charles Tillier.

Short CV

2020-current: Postdoctoral researcher at Math Data Lab, KTH Royal Institute of Technology, Stockholm.

2018–2020: Ph.D. student at Max Planck Institute for Mathematics in the Sciences. Advisors: Bernd Sturmfels and Christiane Görgen. [bs, cg]

2012–2018: Bachelor's and Master's student at University of Bonn. Advisor: Daniel Huybrechts. [dh]


By email: math at orlandomarigliano.com