Søren Brunak

Søren Brunak obtained his Master of Science degree in Physics, in 1987 from the Niels Bohr Institute at the University of Copenhagen[6] and his Ph.D. in Computational Biology in 1991 at the Department of Structural Properties of Materials, Technical University of Denmark, and in 2002 a Dr.phil. (Honoris causa) from the Natural Science Faculty of the Stockholm University.

Søren Brunak was in 1993 the founding director of the Center for Biological Sequence Analysis at the Technical University of Denmark.[7][8][9] A major, early center in bioinformatics that has existed for more than 20 years. In 2007, Søren Brunak was, with Matthias Mann, a founding research director of the Novo Nordisk Foundation Center for Protein Research at the Faculty for Health and Medical Sciences of the University of Copenhagen, a leading center for the study of human proteins of therapeutic value.

He has been participating in scientific advisory committees of several scientific organizations, such as the European Molecular Biology Laboratory (EMBL, Heidelberg), Ensembl at the European Bioinformatics Institute and Wellcome Trust Sanger Institute (chairman), the Bioinformatics Advisory Committee at the European Bioinformatics Institute (chairman), Institut Pasteur, the Max Planck Institute for Molecular Genetics (Berlin), the Science for Life Laboratory (Stockholm) and the Swiss Institute of Bioinformatics.

Brunak's main research is in bioinformatics, systems biology and medical informatics. In particular, machine learning based prediction and the general area of integrative systems biology where heterogeneous data from the molecular level are combined with phenotypic data from the healthcare sector. A general aim is to understand disease mechanisms at the level of protein network biology. An additional focus area is human proteome variation and precision medicine, where patient-specific adverse drug reaction profiles and the discrimination between treatment related disease correlations and other comorbidities are investigated. The group engages in non-hypothesis driven research, where massive amounts of data from widely different experimental technologies are combined and analysed with the objective of making discoveries that emerge from the data rather than being the result of specific experiments designed to confirm or disprove given hypotheses. The Brunak group has also over the years been highly within machine learning and have produced numerous, highly used prediction methods, including SignalP, TargetP, NetGene, NetPhos, NetOglyc, NetNES, distanceP and many others.[10][11][12][13] As of 2017, according to Google Scholar,[5] his most highly cited peer reviewed publications have been published in the Journal of Molecular Biology,[11][14] Protein Engineering,[10] and Nature[15] and Nature Methods.[16]