Timo Koski
Data science

Timo Koski

Current position
Ph.D., Professor of Mathematical Statistics, KTH Royal Institute of Technology, Stockholm
Skills
Statistics
Applied Mathematics
Matlab
Machine Learning

Social

ABOUT

Ph.D at Abo Akademi University in Finland. Teaching & research positions in Sweden: at Lulea University of Technology, Linkoping University, KTH Royal Institute of Technology (current position). Visiting researcher at University of North Carolina at Chapel Hill, Louisiana State University at Baton Rouge, UTIA of Czech Academy of Sciences, University of Warsaw, Institute of Advanced Study at Aalto University, Visiting lecturer and researcher at University of Helsinki, University of Turku, University of Makerere. Author (co-author) of three monographs.

Has worked in signal processing, biomathematics and genetics groups.

EXPERIENCE

Full Professor of Mathematical Statistics
Department of Mathematics at KTH Royal Institute of Technology
Jul 2007 – Present

Full Professor of Mathematical Statistics & Group Leader
Department of Mathematics at Linköpning Institute of Technology (LiTH) / Linköping University
Jul 2000 – Jun 2007

Professor of Mathematical Statistics
Department of Mathematics at Royal Institute of Technology (KTH)
Dec 1999 – Dec 2000

Senior Lecturer
Department of Mathematics at KTH Royal Institute of Technology
1995 – 1999 | Stockholm

ACADEMIC LEADERSHIP

  • Member of the Evaluation panel for grant applications in computer science, mathematics and statistics for Danish Independent Research Council
    2010 - 2014

  • Editorial Board of BMC Genetics
    2010 -Present

  • Member of the Central Promotions Board KTH Royal Institute of Technology
    2008 - Present

  • Member of ‘Styrelse’ of the Deparment of Mathematics (MAI) at LiU
    2004 - 2007

  • Member of the Dean’s Task Force for the Long-term Strategy of the Linköping Institute of Technology
    2002 - 2002

  • Member of the Search Committee for Professorships in Bioinformatics and Biological Computations at Linköping University
    2001 - 2001

  • Associate Editor of Scandinavian Journal of Statistics
    2000 - 2007

  • Member of the Local Scientific Committe of NSC ( National Super-computer Center )

GRANTS

  • The Swedish Research Council (main applicant)
    4000 000 SEK
    2013 - 2017

  • The Swedish Research Council (main applicant, funding for a graduate student)
    500 000 SEK
    2010 - 2014

  • EU 5th Framework Programme
    120 000 EUR
    2003 - 2005

  • The Swedish Research Council (main applicant, funding for a graduate student)
    500 000 SEK
    2002 - 2005

SELECTED PUBLICATIONS

  • "Towards Field-adjusted Production: Estimating Research Productivity From a Zero-truncated Distribution"
    By T. Koski, E. Sandström & U. Sandström
    Journal of Informetrics, vol. 10, no. 4, pp. 1143-1152
    2016

  • "On the Distribution of Matrix Quadratic Forms"
    By T. Koski & M. Singull
    Communications in Statistics - Theory and Methods, vol. 41, no. 18, pp. 3403-3415
    2012

  • "Learning Genetic Population Structures Using Minimization of Stochastic Complexity"
    By T. Koski, J. Corander, & M. Gyllenberg
    Entropy, vol. 12, no. 5, pp. 1102-1124
    2010

  • "Parallell Interacting MCMC for Learning of Topologies of Graphical Models"
    By T. Koski, J. Corander & M. Ekdahl
    Data Mining and Knowledge Discovery, vol. 17, no. 3, pp. 431-456
    2008

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