Topics(21)

Awards and achievements (8) View all

  • Jul 2014
    LiF - Living Factories - Synthetic Biology for a Sustainable Bioeconomy (co-PI, 2014-2016 [-2019]). Large Strategic opening funded by Finnish Funding Agency for Innovation (Tekes)
    Grant
  • Sep 2013
    Metabolite identification through Algorithms and Statistical Learning (MIDAS, 2013-2017). Funding by Academy of Finland
    Grant
  • Oct 2011
    BIOLEDGE - Knowledge Extractor and Modeller for Protein Production, (co-PI, 2011-2015). Funding by EU FP7
    Grant

About

I am interested in developing principled machine learning methods, models and tools for computational and data science. My methods toolbox is primarily built on kernel methods and regularised learning, as well as efficient optimisation algorithms. My favourite topics include learning with multiple and structured targets, multiple views and ensembles. Applications of interest in computational biology include network reconstruction, gene functional classification as well as biomarker discovery.

Skills and expertise(30) View all

42 Following View all

43 Followers View all