Photo of Matthias Schulte
  • Edinburgh

    United Kingdom


Research output per year

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Personal profile

Research interests

Stochastic Geometry

random graphs, random tessellations, Boolean models, random polytopes

Stein's Method

Malliavin-Stein method, normal approximation, Poisson approximation, Poisson process approximation

Stochastic Analysis

Malliavin calculus, product formulas for stochastic integrals

Stochastic Processes

Poisson processes, point processes, Gaussian processes

Large Deviations and Extremes

moderate and large deviation principles, concentration inequalities, extreme value theory


  • since 02/2020: Associate Professor at Heriot-Watt University
  • 04/2016 - 01/2020: Senior Assistant (Oberassistent) at University of Bern
  • 04/2013 - 03/2016: Postdoctoral Researcher at Karlsruhe Institute of Technology
  • 03/2013: PhD in Mathematics, University of Osnabrück
  • 04/2010-03/2013: PhD student at University of Osnabrück
  • 02/2012-07/2012: Research stay at Case Western Reserve University, Cleveland, Ohio
  • 03/2010: Diploma in Wirtschaftsmathematik, Clausthal University of Technology

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Research Output

Multivariate second order Poincaré inequalities for Poisson functionals

Schulte, M. & Yukich, J. E., 2019, In : Electronic Journal of Probability. 24, 130.

Research output: Contribution to journalArticle

Open Access

Normal approximation for stabilizing functionals

Lachièze-Rey, R., Schulte, M. & Yukich, J. E., 1 Apr 2019, In : Annals of Applied Probability. 29, 2, p. 931-993

Research output: Contribution to journalArticle

Central limit theorems for the radial spanning tree

Schulte, M. & Thäle, C., Mar 2017, In : Random Structures and Algorithms. 50, 2, p. 262-286 25 p.

Research output: Contribution to journalArticle

  • Limit theory for the Gilbert graph

    Reitzner, M., Schulte, M. & Thäle, C., Jul 2017, In : Advances in Applied Mathematics. 88, p. 26-61 36 p.

    Research output: Contribution to journalArticle

    Second order analysis of geometric functionals of Boolean models

    Hug, D., Klatt, M. A., Last, G. & Schulte, M., 2017, Tensor Valuations and Their Applications in Stochastic Geometry and Imaging. Jensen, E. B. V. & Kiderlen, M. (eds.). Springer, p. 339-383 45 p. (Lecture Notes in Mathematics; vol. 2177).

    Research output: Chapter in Book/Report/Conference proceedingChapter