Mikael Bodén is a Senior Research Fellow at the Institute for Molecular Bioscience and also a Senior Lecturer in the School of Information Technology and Electrical Engineering, at the University of Queensland. He is affiliated with the Australian Research Council's Centre for Complex Systems, the Australian Research Council's Centre of Excellence in Bioinformatics and a member of the board for Centre of Research in Language Processing and Linguistics (at the University of Queensland). He is also on the editorial board of the Online Journal of Bioinformatics (ISSN 1443-2250) and the Open Systems Biology Journal (ISSN 1876-3928).
Mikael Bodén is a computer scientist with a firm research focus on machine learning and computational modelling in bioinformatics. He has successfully approached a range of biological sequence prediction problems, including protein subcellular localisation and aspects of protein structure. More recently his primary focus has been on systems biology, pertaining to questions about cellular regulation and the importance of nuclear architecture. His approach to building models from data embraces the incorporation of biologically authentic constraints (originating from experimental work), the integration of several complementary large-scale data sets, and aims to enable the extraction of domain-specific knowledge to guide experimental work.
Mikael Bodén is leading a machine learning/bioinformatics research group (http://www.itee.uq.edu.au/~pprowler/).
As a result of various research projects, the group has developed a range of predictor services, available publicly over the internet (http://pprowler.itee.uq.edu.au). As an example, we developed a protein sub-cellular localisation predictor, called the Protein Prowler, based on various machine learning techniques (including recurrent neural networks and support vector machines).