Toke Jansen Hansen
Building 321, 120
My PhD project entitled "Large Scale Machine Learning in High Dimensional Datasets", is supervised by Professor Lars Kai Hansen, IMM, DTU.
My research interests include machine learning in general, e.g., bayesian statistics, kernel methods and spectral clustering, as well as general signal processing. I'm an implementation specialist with a background in computer science, mastering both functional and imperative languages, especially enjoying concurrent and distributed paradigms, including GPU computing.
Finally, from an application point of view, I apply all of these methodologies in the context of real-time fMRI to improve the understanding of the human mind.
Publication: Research › Ph.D. thesis – Annual report year: 2013
Publication: Research - peer-review › Article in proceedings – Annual report year: 2013
Publication: Research - peer-review › Article in proceedings – Annual report year: 2012
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