Mikko Sillanpää

Mikko J. Sillanpää


Professor of Statistics

99 peer reviewed publications in international journals. The publications have been cited 3418 times, of which the most cited publication accounts for 582 citations. The author has a h-index of 24.00. (ISI Web of Science)


My research group considers developing new computationally efficient and practical statistical methods and their applications in biology, medicine and other fields. Bayesian analysis and data analytic methods using hierarchical models and Markov Chain Monte Carlo sampling methods are preferred in the group. In many of the problems we are working with, important parts of the solution are formed by the efficient handling of the big-data, use of data analytic tools having close connections to the machine learning theory, and algorithmic view of computational methods. Specifically, the present research interest address statistical variable selection methods having sparsity-inducing mechanism and different inferential methods for covariance/precision matrix and network structures.



Professional and community activities

  • Associate Editor of GENETICS
  • Associate Editor of Theoretical and Applied Genetics
  • Associate Editor of BMC Genetics

Funded research projects


Bayesian Trusted Edge Analytics - B-TEA

Strategic research project of the University of OuluFocus institute: Infotech Oulu