Aki Vehtari

Academy Research Fellow, D.Sc. (Tech.), Adjunct Professor (docent) in Statistics

Aalto University (Helsinki University of Technology was one of three universities merged to Aalto)x
School of Science
Department of Biomedical Engineering and Computational Science (BECS)
Centre of Excellence in Computational Complex Systems Research

Office: Rakentajanaukio 2C, 3rd floor, F306
Phone: +358 9 4702 4849
Email: Aki.Vehtari(at)aalto.fi

Research Activities

I'm leader of the Bayesian methodology group at BECS. Most of our current and past projects are listed in Bayes group's research page, but since we are so busy doing new research, some recent projects may be missing from there. The web pages of our department are in the process of changing to a new Aalto design, and it will take some time the process to reach the Bayes group's web pages.

My research interests are Bayesian probability theory and methodology, especially inference methods such as Laplace, EP, VB, MC, model assessment and selection, non-parametric models such as Gaussian processes, dynamic models, and hierarchical models.

Interesting applications I'm currently working on include brain signal analysis (MEG, fMRI, InI-fMRI ), genome wide association analysis, public and occupational health care data analysis, spatio-temporal epidemiology and large predator population structure and size estimation.

List of my publications

[new]New Release of GPstuff 3.2!

Teaching

I'm responsible for several courses, but during Academy Research Fellowship, others will take care of actual teaching for two courses.

Software

I have participated in writing several computational software packages:

Last modified: 2011-10-23