Photo of Lasse Leskelä

Lasse Leskelä

  • Phone+358 40 5375352
  • Otakaari 1

20042020

Research activity per year

If you made any changes in Pure these will be visible here soon.

Personal profile

Artistic and research interests

My research area is stochastics, the mathematical theory of random events, systems, and processes. The main focus is statistical network models and random graphs, together with random dynamical systems and stochastic processes acting on networks. The general objective is to derive fundamental mathematical laws for predicting the macroscopic behavior of large random systems and describing the accuracy of statistical learning algorithms for large network models. Such laws allow to make predictions using massive high-dimensional data sets for which classical methods of statistics and machine learning are often infeasible. Statistical network models under study include random intersection graphs, stochastic block models, and graphons. The archetypes of stochastic dynamics studied are branching processes, random walks, and first passage percolation. The formulas and methods have a wide range of applications ranging from information and social networks to biological and financial systems.

Education/Academic qualification

Doctoral degree, Engineering and Technology, Helsinki University of Technology

Award Date: 13 Dec 2005

Master's degree, Engineering and Technology, Helsinki University of Technology

Award Date: 26 Jan 1999

External positions

Professor (pro tem), University of Jyväskylä

1 Oct 201131 Jul 2012

University Lecturer, University of Jyväskylä

1 Jan 201131 Dec 2014

Assistant professor, Eindhoven University of Technology

1 Jun 200731 Dec 2007

Postdoctoral researcher, Centrum voor Wiskunde en Informatica

1 Jun 200631 May 2007

Visiting Scholar, Columbia University

1 Mar 200631 May 2006

Keywords

  • Probability theory
  • Stochastic processes
  • Random graphs
  • Statistical network models
  • Queueing Theory
  • Applied probability
  • Stochastics
  • Stochastic modeling

Fingerprint

Dive into the research topics where Lasse Leskelä is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
  • 8 Similar Profiles

Network

Recent external collaboration on country level. Dive into details by clicking on the dots or
Your message has successfully been sent.
Your message was not sent due to an error.
If you made any changes in Pure these will be visible here soon.