Curriculum vitae

Main Research Areas
  • signal and data analysis
  • analysis of medical and microscopy images using computer vision approaches
  • statistical modeling and machine learning
Professional Career
since 2012 Postdoctoral researcher in the Applied Systems Biology group, Hans Knöll Institute, Jena, Germany.
2011-2012 Postdoctoral researcher in the group Computational Neuroscience and Machine Learning at Frankfurt Institute for Advanced Studies (FIAS) in Frankfurt am Main
2009-2011 Postdoctoral researcher in the Visual Neuroscience group at the School of Psychology at the University of Nottingham (GB)
2009 PhD in Applied Mathematics at the University of Nottingham (GB)
2005 M.Sc. in Engineering Physics at the Royal Institute of Technology in Stockholm (SWE)

Publications

Kraibooj K*, Schoeler H*, Svensson C-M, Brakhage AA, Figge MT (2015) Automated quantification of the phagocytosis of Aspergillus fumigatus conidia by a novel image analysis algorithm. Frontiers in Microbiology 6(549), *authors contributed equally.
Svensson C-M, Hübler R, Figge MT (2015) Automated classification of circulating tumor cells and the impact of inter-observer variability on classifier training and performance. Journal of Immunology Research 2015(Article ID 573165), 9.
Svensson C-M, Krusekopf S, Lücke J, Figge MT (2014) Automated detection of circulating tumor cells with naive Bayesian classifiers. Cytometry A 85(6), 501-511.
Svensson C-M, Coombes S, Peirce JW (2012) Using evolutionary algorithms for fitting high-dimensional models to neuronal data. Neuroinformatics 10(2), 199-218.
Svensson C-M, Coombes S (2009) Mode locking in a spatially extended neuron model: active soma and compartmental tree. Int J Bifurcat Chaos 19(2597),
Coombes S, Timofeeva Y, Svensson C-M, Lord GJ, Josić K, Cox SJ, Colbert CM (2007) Branching dendrites with resonant membrane: a "sum-over-trips" approach. Biol Cybern 97(2), 137-149.