Department of Mathematics and Systems Analysis

Research

Mathematical Statistics and Data Science

The research group in Mathematical Statistics and Data Science studies advanced methods and models for analysing and representing data. We employ probability theory and stochastic processes to rigorously model uncertainty and randomness, and abstract and linear algebra to understand the structure of statistical models and the relationships between their parameters.

News and events

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Members

Pauliina Ilmonen
Professor
Multivariate extreme values, functional data analysis, cancer epidemiology
Lasse Leskelä
Professor
Mathematical statistics, probability theory, network analysis
Kaie Kubjas
Associate Professor
Algebraic statistics
Vanni Noferini
Associate Professor
Network analysis, random matrix theory

Jukka Kohonen
Senior University Lecturer
Statistics, combinatorics
Jonas Tölle
Senior University Lecturer
Stochastic processes, probability theory
Pekka Pere
University Lecturer
Statistics


Selected publications

A complete publication list for all team members is available in the Aalto research database.

Teaching

We teach courses in probability and statistics at all levels. Some of the offered courses are eligible as a basis for an SHV degree in insurance mathematics. Doctoral education in probability and statistics is coordinated by the Finnish Doctoral Education Network in Stochastics and Statistics (FDNSS).

Seminars

Upcoming seminars


Projects and networks

  • SHiNe - Statistical Theory for High-Dimensional Structured Network Models 2026–2030
  • FiRST – Finnish Centre of Excellence in Randomness and Structures, 2022–2029
  • More...

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