Lasse Leskelä

Professori (Associate professor)
Professori (Associate professor)
T302 Dept. Mathematics and Systems Analysis

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.

Full researcher profile
https://research.aalto.fi/...

Contact information

Phone number
+358405375352

Areas of expertise

Probability theory, Stochastic processes, Random graphs, Statistical network models, Queueing Theory, Applied probability, Stochastics, Stochastic modeling, 112 Statistics and probability, Applied mathematics

Honors and awards

McKinsey Prize

McKinsey Prize for the best MSc degree completed in 1999 at the Helsinki University of Technology.
Award or honor granted for academic or artistic career Department of Mathematics and Systems Analysis Jan 2000

Varma-Sampo MSc thesis prize, Finnish Mathematical Society

Award or honor granted for a specific work Department of Mathematics and Systems Analysis Jan 2000

Publications

Consistent Bayesian community recovery in multilayer networks

Kalle Alaluusua, Lasse Leskelä 2022 2022 IEEE International Symposium on Information Theory (ISIT)

Adaptive and optimized COVID-19 vaccination strategies across geographical regions and age groups

Jeta Molla, Alejandro Ponce de León Chávez, Takayuki Hiraoka, Tapio Ala-Nissila, Mikko Kivelä, Lasse Leskelä 2022 PLoS computational biology

Assortativity and bidegree distributions on Bernoulli random graph superpositions

Mindaugas Bloznelis, Joona Karjalainen, Lasse Leskelä 2021 Probability in the Engineering and Informational Sciences

Assortativity and bidegree distributions on Bernoulli random graph superpositions

Mindaugas Bloznelis, Joona Karjalainen, Lasse Leskelä 2020 Algorithms and Models for the Web Graph - 17th International Workshop, WAW 2020, Proceedings

Towards analyzing large graphs with quantum annealing

Hannu Reittu, Ville Kotovirta, Lasse Leskelä, Hannu Rummukainen, Tomi Räty 2020 Proceedings - 2019 IEEE International Conference on Big Data, Big Data 2019

Pathwise Stieltjes integrals of discontinuously evaluated stochastic processes

Zhe Chen, Lasse Leskelä, Lauri Viitasaari 2019 Stochastic Processes and their Applications

First passage percolation in sparse random graphs with boundary weights

Lasse Leskelä, Hoa Ngo 2019 Journal of Applied Probability

Analysis of large sparse graphs using regular decomposition of graph distance matrices

Hannu Reittu, Lasse Leskelä, Tomi Räty, Marco Fiorucci 2019 Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018

Parameter Estimators of Sparse Random Intersection Graphs with Thinned Communities

Joona Karjalainen, J. van Leeuwaarden, Lasse Leskelä 2018 Algorithms and Models for the Web Graph