Department information

Jussi Kollin M.Sc. E-mail: Jussi Kollin (this automatically generated address is valid for at most three days).

Interests

Algorithmics, graphs, bioinformatics and data analysis. Bayesian methodology is integral in my research activities. My research focus lies for the most part in application-driven development of algorithms for data analysis (bioinformatics in particular), but less specialized algorithms are not ignored either. My M.Sc. thesis was about Bayesian trees and using them in clustering.

Teaching

Earlier

• Personal Study Plan and Participating in Teacher Tutoring (beginning in autumn 2006)
• Modelling inheritance in pedigrees and populations (spring 2010
• A Data Structures Project group (autumns 2005, 2006)
• Exercise groups in Introduction to Bioinformatics (autumn 2004)
• A software engineering project (autumn 2003)
• Programming Project groups (spring 2003)
• Exercise groups on introductory programming courses (autumn 2001, spring 2002).

Peer reviewed publications

• Pasi Rastas, Jussi Kollin, and Mikko Koivisto: Fast Bayesian Haplotype Inference via Context Tree Weighting. In: K.A. Crandall, J. Lagergren (eds.),Algorithms in Bioinformatics: 8th International Workshop (WABI 2008), LNBI 5251, pp. 259--270, Springer, 2008.
• Jussi Kollin and Mikko Koivisto: Bayesian Learning with Mixtures of Trees. In: J. Fürnkranz, T. Scheffer, and M. Spiliopoulou (eds.), Proceedings of the 17th European Conference on Machine Learning (ECML 2006), LNCS 4212, pp. 294--305, Springer, 2006.

Other, not peer reviewed papers

• Jussi Kollin, Mikko Koivisto: Bayesian Learning with Mixtures of Trees. Department of Computer Science, University of Helsinki, Report C-2005-63, 2005.
• Jussi Kollin: Algoritmeja graafisten mallien sekoitteiden oppimiseen. Department of Computer Science, University of Helsinki, Report C-2005-34. M.Sc. thesis (in Finnish), 2005.