My research addresses Algebraic Analysis and Topological Data Analysis.
Algebraic Analysis investigates systems of linear partial differential equations by algebraic methods. It elegantly combines methods from Algebraic Geometry, Algebraic Topology, Category Theory, and Complex Analysis. Many special functions in the sciences are encoded by a holonomic annihilating ideal in the Weyl algebra and can be investigated by means of D-modules. In this area, I focus on computational aspects and applications – among others, maximum likelihood estimation of statistical models.
Topological Data Analysis analyzes the shape of data by topological methods. It has concrete applications in neurosciences and machine learning, for instance. One main tool is persistent homology. It associates persistence modules and so called barcodes to datasets, from which one easily reads topological features. Behind the scenes, algebraic structure theorems keep the machinery running. My emphasis in this area lies on advancing the algebraic tools.
My current collaborators include:
- Valeria Bertini↩ (TU Chemnitz, Germany)
- René Corbet↩ (KTH Stockholm, Sweden)
- Wojciech Chachólski↩ (KTH Stockholm, Sweden)
- Joscha Diehl↩ (University of Greifswald, Germany)
- Paul Görlach↩ (TU Chemnitz, Germany)
- Christian Lehn↩ (TU Chemnitz, Germany)
- Robin van der Veer↩ (KU Leuven, Belgium)
Preprints and publications:
- Maximum Likelihood Estimation from a Tropical and a Bernstein-Sato Perspective (with Robin van der Veer↩). arxiv:2101.03570↩, 2021.
- Algebraic Analysis of the Hypergeometric Function 1F1 of a Matrix Argument (with Paul Görlach↩ and Christian Lehn↩). Beiträge zur Algebra und Geometrie, November 2020. DOI:10.1007/s13366-020-00546-z↩. Final version also available at arXiv:2005.06162↩.
- Algebraic Analysis of Rotation Data (with Michael F. Adamer↩, András C. Lőrincz↩, and Bernd Sturmfels↩). Algebraic Statistics 11:189-211, 2020. Submitted version also available at arXiv:1912.00396↩.
- D-Modules and Holonomic Functions (with Bernd Sturmfels↩). Preprint arxiv:1910.01395↩, 2019. To be published in the proceedings of the MATH+ Fall School on Algebraic Geometry.
- Topological Computation of the Stokes Matrices of the Weighted Projective Line P(1,3). Preprint arXiv:1810.10954↩, 2018. An extended version Topological computation of Stokes matrices of some weighted projective lines is published in Manuscripta Mathematica, April 2020. DOI: 10.1007/s00229-020-01193-3↩.