Ilkka Huopaniemi
homepage:http://www.cis.hut.fi/ihuopani/
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Description

I work as a researcher in the Statistical Machine Learning And Bioinformatics group in the Transcendo project in which the overall objective of the project is to build a comprehensive modelling and biosimulation framework for studying human pathophysiology in silico, with the initial focus area of Diabetes.

My research interests are: data integration, translational modelling, multi-way analysis, Bayesian methods, metabolomics. I have a position in the FICS graduate school. I'm a board member (2009-2010, 2010-2011) in the Finnish Bioinformatics Society.

I am originally a physicist and I graduated in 2006 at the Department of Engineering Physics and Mathematics of HUT and moved to machine learning and bioinformatics.


Lectures:

lecture
flag Multi-Way, Multi-View Learning
as author at  Learning from Multiple Sources,
331 views
  lecture
flag Two-Way Analysis of High-Dimensional Collinear Data
as author at  Sessions,
211 views